zhenggq commited on
Commit
a9cdb28
·
verified ·
1 Parent(s): 011e436

Upload folder using huggingface_hub

Browse files
config.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/scratch/azureml/cr/j/86dc2c7975db4cf6a2828aae21fd8aa3/cap/data-capability/wd/INPUT_pretrained",
3
+ "architectures": [
4
+ "Phi3ForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "auto_map": {},
9
+ "bos_token_id": 100257,
10
+ "embd_pdrop": 0.0,
11
+ "eos_token_id": 100257,
12
+ "hidden_act": "silu",
13
+ "hidden_size": 5120,
14
+ "initializer_range": 0.02,
15
+ "intermediate_size": 17920,
16
+ "max_position_embeddings": 16384,
17
+ "model_type": "phi3",
18
+ "num_attention_heads": 40,
19
+ "num_hidden_layers": 40,
20
+ "num_key_value_heads": 10,
21
+ "original_max_position_embeddings": 16384,
22
+ "pad_token_id": 100257,
23
+ "resid_pdrop": 0.0,
24
+ "rms_norm_eps": 1e-05,
25
+ "rope_scaling": null,
26
+ "rope_theta": 250000,
27
+ "sliding_window": null,
28
+ "tie_word_embeddings": false,
29
+ "torch_dtype": "bfloat16",
30
+ "transformers_version": "4.46.3",
31
+ "use_cache": true,
32
+ "vocab_size": 100352
33
+ }
generation_config.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 100257,
4
+ "eos_token_id": [
5
+ 100257,
6
+ 100265
7
+ ],
8
+ "transformers_version": "4.46.3"
9
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model-00001-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:355952dea5e6d676b75b21545e0615772222b26cb9d9758484c851e724a0a9e1
3
+ size 4933656472
model-00002-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:856bb4a8a0022b6e4ce24dc7bf69ef3b20641c84360acf68d3f99ed64048adde
3
+ size 4954690712
model-00003-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5afa2394ca61023ece7a5ac7203defa9c263791d5f50e470fb3610770520b35a
3
+ size 4902241352
model-00004-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:89cad43bb748ad21253fc722af8900143dd3640c4ff4591b1d64c9917af1362c
3
+ size 4771169120
model-00005-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:107cd94c9d329a09d964872acac6a6d743bdacc89bf7e6d5d24b76676a57f29c
3
+ size 4771169120
model-00006-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cfdfc45f887d4b906d29e2535cf9acbcc5e8a605794495b5953d8af3db6adef5
3
+ size 4986116216
model.safetensors.index.json ADDED
@@ -0,0 +1,250 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 29319014400
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00006-of-00006.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00006.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00006.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
10
+ "model.layers.0.mlp.gate_up_proj.weight": "model-00001-of-00006.safetensors",
11
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
12
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
13
+ "model.layers.0.self_attn.qkv_proj.weight": "model-00001-of-00006.safetensors",
14
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00006.safetensors",
15
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
16
+ "model.layers.1.mlp.gate_up_proj.weight": "model-00001-of-00006.safetensors",
17
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
18
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
19
+ "model.layers.1.self_attn.qkv_proj.weight": "model-00001-of-00006.safetensors",
20
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00006.safetensors",
21
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
22
+ "model.layers.10.mlp.gate_up_proj.weight": "model-00002-of-00006.safetensors",
23
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
24
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
25
+ "model.layers.10.self_attn.qkv_proj.weight": "model-00002-of-00006.safetensors",
26
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00006.safetensors",
27
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
28
+ "model.layers.11.mlp.gate_up_proj.weight": "model-00002-of-00006.safetensors",
29
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
30
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
31
+ "model.layers.11.self_attn.qkv_proj.weight": "model-00002-of-00006.safetensors",
32
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00006.safetensors",
33
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
34
+ "model.layers.12.mlp.gate_up_proj.weight": "model-00002-of-00006.safetensors",
35
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
36
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
37
+ "model.layers.12.self_attn.qkv_proj.weight": "model-00002-of-00006.safetensors",
38
+ "model.layers.13.input_layernorm.weight": "model-00003-of-00006.safetensors",
39
+ "model.layers.13.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
40
+ "model.layers.13.mlp.gate_up_proj.weight": "model-00003-of-00006.safetensors",
41
+ "model.layers.13.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
42
+ "model.layers.13.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
43
+ "model.layers.13.self_attn.qkv_proj.weight": "model-00003-of-00006.safetensors",
44
+ "model.layers.14.input_layernorm.weight": "model-00003-of-00006.safetensors",
45
+ "model.layers.14.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
46
+ "model.layers.14.mlp.gate_up_proj.weight": "model-00003-of-00006.safetensors",
47
+ "model.layers.14.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
48
+ "model.layers.14.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
49
+ "model.layers.14.self_attn.qkv_proj.weight": "model-00003-of-00006.safetensors",
50
+ "model.layers.15.input_layernorm.weight": "model-00003-of-00006.safetensors",
51
+ "model.layers.15.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
52
+ "model.layers.15.mlp.gate_up_proj.weight": "model-00003-of-00006.safetensors",
53
+ "model.layers.15.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
54
+ "model.layers.15.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
55
+ "model.layers.15.self_attn.qkv_proj.weight": "model-00003-of-00006.safetensors",
56
+ "model.layers.16.input_layernorm.weight": "model-00003-of-00006.safetensors",
57
+ "model.layers.16.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
58
+ "model.layers.16.mlp.gate_up_proj.weight": "model-00003-of-00006.safetensors",
59
+ "model.layers.16.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
60
+ "model.layers.16.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
61
+ "model.layers.16.self_attn.qkv_proj.weight": "model-00003-of-00006.safetensors",
62
+ "model.layers.17.input_layernorm.weight": "model-00003-of-00006.safetensors",
63
+ "model.layers.17.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
64
+ "model.layers.17.mlp.gate_up_proj.weight": "model-00003-of-00006.safetensors",
65
+ "model.layers.17.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
66
+ "model.layers.17.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
67
+ "model.layers.17.self_attn.qkv_proj.weight": "model-00003-of-00006.safetensors",
68
+ "model.layers.18.input_layernorm.weight": "model-00003-of-00006.safetensors",
69
+ "model.layers.18.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
70
+ "model.layers.18.mlp.gate_up_proj.weight": "model-00003-of-00006.safetensors",
71
+ "model.layers.18.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
72
+ "model.layers.18.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
73
+ "model.layers.18.self_attn.qkv_proj.weight": "model-00003-of-00006.safetensors",
74
+ "model.layers.19.input_layernorm.weight": "model-00003-of-00006.safetensors",
75
+ "model.layers.19.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
76
+ "model.layers.19.mlp.gate_up_proj.weight": "model-00003-of-00006.safetensors",
77
+ "model.layers.19.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
78
+ "model.layers.19.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
79
+ "model.layers.19.self_attn.qkv_proj.weight": "model-00003-of-00006.safetensors",
80
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00006.safetensors",
81
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
82
+ "model.layers.2.mlp.gate_up_proj.weight": "model-00001-of-00006.safetensors",
83
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
84
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
85
+ "model.layers.2.self_attn.qkv_proj.weight": "model-00001-of-00006.safetensors",
86
+ "model.layers.20.input_layernorm.weight": "model-00004-of-00006.safetensors",
87
+ "model.layers.20.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
88
+ "model.layers.20.mlp.gate_up_proj.weight": "model-00004-of-00006.safetensors",
89
+ "model.layers.20.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
90
+ "model.layers.20.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
91
+ "model.layers.20.self_attn.qkv_proj.weight": "model-00003-of-00006.safetensors",
92
+ "model.layers.21.input_layernorm.weight": "model-00004-of-00006.safetensors",
93
+ "model.layers.21.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
94
+ "model.layers.21.mlp.gate_up_proj.weight": "model-00004-of-00006.safetensors",
95
+ "model.layers.21.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
96
+ "model.layers.21.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
97
+ "model.layers.21.self_attn.qkv_proj.weight": "model-00004-of-00006.safetensors",
98
+ "model.layers.22.input_layernorm.weight": "model-00004-of-00006.safetensors",
99
+ "model.layers.22.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
100
+ "model.layers.22.mlp.gate_up_proj.weight": "model-00004-of-00006.safetensors",
101
+ "model.layers.22.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
102
+ "model.layers.22.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
103
+ "model.layers.22.self_attn.qkv_proj.weight": "model-00004-of-00006.safetensors",
104
+ "model.layers.23.input_layernorm.weight": "model-00004-of-00006.safetensors",
105
+ "model.layers.23.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
106
+ "model.layers.23.mlp.gate_up_proj.weight": "model-00004-of-00006.safetensors",
107
+ "model.layers.23.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
108
+ "model.layers.23.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
109
+ "model.layers.23.self_attn.qkv_proj.weight": "model-00004-of-00006.safetensors",
110
+ "model.layers.24.input_layernorm.weight": "model-00004-of-00006.safetensors",
111
+ "model.layers.24.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
112
+ "model.layers.24.mlp.gate_up_proj.weight": "model-00004-of-00006.safetensors",
113
+ "model.layers.24.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
114
+ "model.layers.24.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
115
+ "model.layers.24.self_attn.qkv_proj.weight": "model-00004-of-00006.safetensors",
116
+ "model.layers.25.input_layernorm.weight": "model-00004-of-00006.safetensors",
117
+ "model.layers.25.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
118
+ "model.layers.25.mlp.gate_up_proj.weight": "model-00004-of-00006.safetensors",
119
+ "model.layers.25.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
120
+ "model.layers.25.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
121
+ "model.layers.25.self_attn.qkv_proj.weight": "model-00004-of-00006.safetensors",
122
+ "model.layers.26.input_layernorm.weight": "model-00004-of-00006.safetensors",
123
+ "model.layers.26.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
124
+ "model.layers.26.mlp.gate_up_proj.weight": "model-00004-of-00006.safetensors",
125
+ "model.layers.26.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
126
+ "model.layers.26.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
127
+ "model.layers.26.self_attn.qkv_proj.weight": "model-00004-of-00006.safetensors",
128
+ "model.layers.27.input_layernorm.weight": "model-00005-of-00006.safetensors",
129
+ "model.layers.27.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
130
+ "model.layers.27.mlp.gate_up_proj.weight": "model-00005-of-00006.safetensors",
131
+ "model.layers.27.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
132
+ "model.layers.27.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
133
+ "model.layers.27.self_attn.qkv_proj.weight": "model-00004-of-00006.safetensors",
134
+ "model.layers.28.input_layernorm.weight": "model-00005-of-00006.safetensors",
135
+ "model.layers.28.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
136
+ "model.layers.28.mlp.gate_up_proj.weight": "model-00005-of-00006.safetensors",
137
+ "model.layers.28.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
138
+ "model.layers.28.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
139
+ "model.layers.28.self_attn.qkv_proj.weight": "model-00005-of-00006.safetensors",
140
+ "model.layers.29.input_layernorm.weight": "model-00005-of-00006.safetensors",
141
+ "model.layers.29.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
142
+ "model.layers.29.mlp.gate_up_proj.weight": "model-00005-of-00006.safetensors",
143
+ "model.layers.29.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
144
+ "model.layers.29.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
145
+ "model.layers.29.self_attn.qkv_proj.weight": "model-00005-of-00006.safetensors",
146
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00006.safetensors",
147
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
148
+ "model.layers.3.mlp.gate_up_proj.weight": "model-00001-of-00006.safetensors",
149
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
150
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
151
+ "model.layers.3.self_attn.qkv_proj.weight": "model-00001-of-00006.safetensors",
152
+ "model.layers.30.input_layernorm.weight": "model-00005-of-00006.safetensors",
153
+ "model.layers.30.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
154
+ "model.layers.30.mlp.gate_up_proj.weight": "model-00005-of-00006.safetensors",
155
+ "model.layers.30.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
156
+ "model.layers.30.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
157
+ "model.layers.30.self_attn.qkv_proj.weight": "model-00005-of-00006.safetensors",
158
+ "model.layers.31.input_layernorm.weight": "model-00005-of-00006.safetensors",
159
+ "model.layers.31.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
160
+ "model.layers.31.mlp.gate_up_proj.weight": "model-00005-of-00006.safetensors",
161
+ "model.layers.31.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
162
+ "model.layers.31.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
163
+ "model.layers.31.self_attn.qkv_proj.weight": "model-00005-of-00006.safetensors",
164
+ "model.layers.32.input_layernorm.weight": "model-00005-of-00006.safetensors",
165
+ "model.layers.32.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
166
+ "model.layers.32.mlp.gate_up_proj.weight": "model-00005-of-00006.safetensors",
167
+ "model.layers.32.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
168
+ "model.layers.32.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
169
+ "model.layers.32.self_attn.qkv_proj.weight": "model-00005-of-00006.safetensors",
170
+ "model.layers.33.input_layernorm.weight": "model-00005-of-00006.safetensors",
171
+ "model.layers.33.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
172
+ "model.layers.33.mlp.gate_up_proj.weight": "model-00005-of-00006.safetensors",
173
+ "model.layers.33.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
174
+ "model.layers.33.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
175
+ "model.layers.33.self_attn.qkv_proj.weight": "model-00005-of-00006.safetensors",
176
+ "model.layers.34.input_layernorm.weight": "model-00006-of-00006.safetensors",
177
+ "model.layers.34.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
178
+ "model.layers.34.mlp.gate_up_proj.weight": "model-00006-of-00006.safetensors",
179
+ "model.layers.34.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
180
+ "model.layers.34.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
181
+ "model.layers.34.self_attn.qkv_proj.weight": "model-00005-of-00006.safetensors",
182
+ "model.layers.35.input_layernorm.weight": "model-00006-of-00006.safetensors",
183
+ "model.layers.35.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
184
+ "model.layers.35.mlp.gate_up_proj.weight": "model-00006-of-00006.safetensors",
185
+ "model.layers.35.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
186
+ "model.layers.35.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
187
+ "model.layers.35.self_attn.qkv_proj.weight": "model-00006-of-00006.safetensors",
188
+ "model.layers.36.input_layernorm.weight": "model-00006-of-00006.safetensors",
189
+ "model.layers.36.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
190
+ "model.layers.36.mlp.gate_up_proj.weight": "model-00006-of-00006.safetensors",
191
+ "model.layers.36.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
192
+ "model.layers.36.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
193
+ "model.layers.36.self_attn.qkv_proj.weight": "model-00006-of-00006.safetensors",
194
+ "model.layers.37.input_layernorm.weight": "model-00006-of-00006.safetensors",
195
+ "model.layers.37.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
196
+ "model.layers.37.mlp.gate_up_proj.weight": "model-00006-of-00006.safetensors",
197
+ "model.layers.37.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
198
+ "model.layers.37.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
199
+ "model.layers.37.self_attn.qkv_proj.weight": "model-00006-of-00006.safetensors",
200
+ "model.layers.38.input_layernorm.weight": "model-00006-of-00006.safetensors",
201
+ "model.layers.38.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
202
+ "model.layers.38.mlp.gate_up_proj.weight": "model-00006-of-00006.safetensors",
203
+ "model.layers.38.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
204
+ "model.layers.38.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
205
+ "model.layers.38.self_attn.qkv_proj.weight": "model-00006-of-00006.safetensors",
206
+ "model.layers.39.input_layernorm.weight": "model-00006-of-00006.safetensors",
207
+ "model.layers.39.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
208
+ "model.layers.39.mlp.gate_up_proj.weight": "model-00006-of-00006.safetensors",
209
+ "model.layers.39.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
210
+ "model.layers.39.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
211
+ "model.layers.39.self_attn.qkv_proj.weight": "model-00006-of-00006.safetensors",
212
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00006.safetensors",
213
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
214
+ "model.layers.4.mlp.gate_up_proj.weight": "model-00001-of-00006.safetensors",
215
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
216
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
217
+ "model.layers.4.self_attn.qkv_proj.weight": "model-00001-of-00006.safetensors",
218
+ "model.layers.5.input_layernorm.weight": "model-00002-of-00006.safetensors",
219
+ "model.layers.5.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
220
+ "model.layers.5.mlp.gate_up_proj.weight": "model-00001-of-00006.safetensors",
221
+ "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
222
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
223
+ "model.layers.5.self_attn.qkv_proj.weight": "model-00001-of-00006.safetensors",
224
+ "model.layers.6.input_layernorm.weight": "model-00002-of-00006.safetensors",
225
+ "model.layers.6.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
226
+ "model.layers.6.mlp.gate_up_proj.weight": "model-00002-of-00006.safetensors",
227
+ "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
228
+ "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
229
+ "model.layers.6.self_attn.qkv_proj.weight": "model-00002-of-00006.safetensors",
230
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00006.safetensors",
231
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
232
+ "model.layers.7.mlp.gate_up_proj.weight": "model-00002-of-00006.safetensors",
233
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
234
+ "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
235
+ "model.layers.7.self_attn.qkv_proj.weight": "model-00002-of-00006.safetensors",
236
+ "model.layers.8.input_layernorm.weight": "model-00002-of-00006.safetensors",
237
+ "model.layers.8.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
238
+ "model.layers.8.mlp.gate_up_proj.weight": "model-00002-of-00006.safetensors",
239
+ "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
240
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
241
+ "model.layers.8.self_attn.qkv_proj.weight": "model-00002-of-00006.safetensors",
242
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00006.safetensors",
243
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
244
+ "model.layers.9.mlp.gate_up_proj.weight": "model-00002-of-00006.safetensors",
245
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
246
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
247
+ "model.layers.9.self_attn.qkv_proj.weight": "model-00002-of-00006.safetensors",
248
+ "model.norm.weight": "model-00006-of-00006.safetensors"
249
+ }
250
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<|endoftext|>",
4
+ "lstrip": true,
5
+ "normalized": false,
6
+ "rstrip": true,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "<|endoftext|>",
11
+ "lstrip": true,
12
+ "normalized": false,
13
+ "rstrip": true,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "<|endoftext|>",
18
+ "lstrip": true,
19
+ "normalized": false,
20
+ "rstrip": true,
21
+ "single_word": false
22
+ },
23
+ "unk_token": "<|endoftext|>"
24
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,781 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "100256": {
5
+ "content": "<|dummy_0|>",
6
+ "lstrip": true,
7
+ "normalized": false,
8
+ "rstrip": true,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "100257": {
13
+ "content": "<|endoftext|>",
14
+ "lstrip": true,
15
+ "normalized": false,
16
+ "rstrip": true,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "100258": {
21
+ "content": "<|fim_prefix|>",
22
+ "lstrip": true,
23
+ "normalized": false,
24
+ "rstrip": true,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "100259": {
29
+ "content": "<|fim_middle|>",
30
+ "lstrip": true,
31
+ "normalized": false,
32
+ "rstrip": true,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "100260": {
37
+ "content": "<|fim_suffix|>",
38
+ "lstrip": true,
39
+ "normalized": false,
40
+ "rstrip": true,
41
+ "single_word": false,
42
+ "special": true
43
+ },
44
+ "100261": {
45
+ "content": "<|dummy_1|>",
46
+ "lstrip": true,
47
+ "normalized": false,
48
+ "rstrip": true,
49
+ "single_word": false,
50
+ "special": true
51
+ },
52
+ "100262": {
53
+ "content": "<|dummy_2|>",
54
+ "lstrip": true,
55
+ "normalized": false,
56
+ "rstrip": true,
57
+ "single_word": false,
58
+ "special": true
59
+ },
60
+ "100263": {
61
+ "content": "<|dummy_3|>",
62
+ "lstrip": true,
63
+ "normalized": false,
64
+ "rstrip": true,
65
+ "single_word": false,
66
+ "special": true
67
+ },
68
+ "100264": {
69
+ "content": "<|im_start|>",
70
+ "lstrip": true,
71
+ "normalized": false,
72
+ "rstrip": true,
73
+ "single_word": false,
74
+ "special": true
75
+ },
76
+ "100265": {
77
+ "content": "<|im_end|>",
78
+ "lstrip": true,
79
+ "normalized": false,
80
+ "rstrip": true,
81
+ "single_word": false,
82
+ "special": true
83
+ },
84
+ "100266": {
85
+ "content": "<|im_sep|>",
86
+ "lstrip": true,
87
+ "normalized": false,
88
+ "rstrip": true,
89
+ "single_word": false,
90
+ "special": true
91
+ },
92
+ "100267": {
93
+ "content": "<|dummy_4|>",
94
+ "lstrip": true,
95
+ "normalized": false,
96
+ "rstrip": true,
97
+ "single_word": false,
98
+ "special": true
99
+ },
100
+ "100268": {
101
+ "content": "<|dummy_5|>",
102
+ "lstrip": true,
103
+ "normalized": false,
104
+ "rstrip": true,
105
+ "single_word": false,
106
+ "special": true
107
+ },
108
+ "100269": {
109
+ "content": "<|dummy_6|>",
110
+ "lstrip": true,
111
+ "normalized": false,
112
+ "rstrip": true,
113
+ "single_word": false,
114
+ "special": true
115
+ },
116
+ "100270": {
117
+ "content": "<|dummy_7|>",
118
+ "lstrip": true,
119
+ "normalized": false,
120
+ "rstrip": true,
121
+ "single_word": false,
122
+ "special": true
123
+ },
124
+ "100271": {
125
+ "content": "<|dummy_8|>",
126
+ "lstrip": true,
127
+ "normalized": false,
128
+ "rstrip": true,
129
+ "single_word": false,
130
+ "special": true
131
+ },
132
+ "100272": {
133
+ "content": "<|dummy_9|>",
134
+ "lstrip": true,
135
+ "normalized": false,
136
+ "rstrip": true,
137
+ "single_word": false,
138
+ "special": true
139
+ },
140
+ "100273": {
141
+ "content": "<|dummy_10|>",
142
+ "lstrip": true,
143
+ "normalized": false,
144
+ "rstrip": true,
145
+ "single_word": false,
146
+ "special": true
147
+ },
148
+ "100274": {
149
+ "content": "<|dummy_11|>",
150
+ "lstrip": true,
151
+ "normalized": false,
152
+ "rstrip": true,
153
+ "single_word": false,
154
+ "special": true
155
+ },
156
+ "100275": {
157
+ "content": "<|dummy_12|>",
158
+ "lstrip": true,
159
+ "normalized": false,
160
+ "rstrip": true,
161
+ "single_word": false,
162
+ "special": true
163
+ },
164
+ "100276": {
165
+ "content": "<|endofprompt|>",
166
+ "lstrip": true,
167
+ "normalized": false,
168
+ "rstrip": true,
169
+ "single_word": false,
170
+ "special": true
171
+ },
172
+ "100277": {
173
+ "content": "<|dummy_13|>",
174
+ "lstrip": true,
175
+ "normalized": false,
176
+ "rstrip": true,
177
+ "single_word": false,
178
+ "special": true
179
+ },
180
+ "100278": {
181
+ "content": "<|dummy_14|>",
182
+ "lstrip": true,
183
+ "normalized": false,
184
+ "rstrip": true,
185
+ "single_word": false,
186
+ "special": true
187
+ },
188
+ "100279": {
189
+ "content": "<|dummy_15|>",
190
+ "lstrip": true,
191
+ "normalized": false,
192
+ "rstrip": true,
193
+ "single_word": false,
194
+ "special": true
195
+ },
196
+ "100280": {
197
+ "content": "<|dummy_16|>",
198
+ "lstrip": true,
199
+ "normalized": false,
200
+ "rstrip": true,
201
+ "single_word": false,
202
+ "special": true
203
+ },
204
+ "100281": {
205
+ "content": "<|dummy_17|>",
206
+ "lstrip": true,
207
+ "normalized": false,
208
+ "rstrip": true,
209
+ "single_word": false,
210
+ "special": true
211
+ },
212
+ "100282": {
213
+ "content": "<|dummy_18|>",
214
+ "lstrip": true,
215
+ "normalized": false,
216
+ "rstrip": true,
217
+ "single_word": false,
218
+ "special": true
219
+ },
220
+ "100283": {
221
+ "content": "<|dummy_19|>",
222
+ "lstrip": true,
223
+ "normalized": false,
224
+ "rstrip": true,
225
+ "single_word": false,
226
+ "special": true
227
+ },
228
+ "100284": {
229
+ "content": "<|dummy_20|>",
230
+ "lstrip": true,
231
+ "normalized": false,
232
+ "rstrip": true,
233
+ "single_word": false,
234
+ "special": true
235
+ },
236
+ "100285": {
237
+ "content": "<|dummy_21|>",
238
+ "lstrip": true,
239
+ "normalized": false,
240
+ "rstrip": true,
241
+ "single_word": false,
242
+ "special": true
243
+ },
244
+ "100286": {
245
+ "content": "<|dummy_22|>",
246
+ "lstrip": true,
247
+ "normalized": false,
248
+ "rstrip": true,
249
+ "single_word": false,
250
+ "special": true
251
+ },
252
+ "100287": {
253
+ "content": "<|dummy_23|>",
254
+ "lstrip": true,
255
+ "normalized": false,
256
+ "rstrip": true,
257
+ "single_word": false,
258
+ "special": true
259
+ },
260
+ "100288": {
261
+ "content": "<|dummy_24|>",
262
+ "lstrip": true,
263
+ "normalized": false,
264
+ "rstrip": true,
265
+ "single_word": false,
266
+ "special": true
267
+ },
268
+ "100289": {
269
+ "content": "<|dummy_25|>",
270
+ "lstrip": true,
271
+ "normalized": false,
272
+ "rstrip": true,
273
+ "single_word": false,
274
+ "special": true
275
+ },
276
+ "100290": {
277
+ "content": "<|dummy_26|>",
278
+ "lstrip": true,
279
+ "normalized": false,
280
+ "rstrip": true,
281
+ "single_word": false,
282
+ "special": true
283
+ },
284
+ "100291": {
285
+ "content": "<|dummy_27|>",
286
+ "lstrip": true,
287
+ "normalized": false,
288
+ "rstrip": true,
289
+ "single_word": false,
290
+ "special": true
291
+ },
292
+ "100292": {
293
+ "content": "<|dummy_28|>",
294
+ "lstrip": true,
295
+ "normalized": false,
296
+ "rstrip": true,
297
+ "single_word": false,
298
+ "special": true
299
+ },
300
+ "100293": {
301
+ "content": "<|dummy_29|>",
302
+ "lstrip": true,
303
+ "normalized": false,
304
+ "rstrip": true,
305
+ "single_word": false,
306
+ "special": true
307
+ },
308
+ "100294": {
309
+ "content": "<|dummy_30|>",
310
+ "lstrip": true,
311
+ "normalized": false,
312
+ "rstrip": true,
313
+ "single_word": false,
314
+ "special": true
315
+ },
316
+ "100295": {
317
+ "content": "<|dummy_31|>",
318
+ "lstrip": true,
319
+ "normalized": false,
320
+ "rstrip": true,
321
+ "single_word": false,
322
+ "special": true
323
+ },
324
+ "100296": {
325
+ "content": "<|dummy_32|>",
326
+ "lstrip": true,
327
+ "normalized": false,
328
+ "rstrip": true,
329
+ "single_word": false,
330
+ "special": true
331
+ },
332
+ "100297": {
333
+ "content": "<|dummy_33|>",
334
+ "lstrip": true,
335
+ "normalized": false,
336
+ "rstrip": true,
337
+ "single_word": false,
338
+ "special": true
339
+ },
340
+ "100298": {
341
+ "content": "<|dummy_34|>",
342
+ "lstrip": true,
343
+ "normalized": false,
344
+ "rstrip": true,
345
+ "single_word": false,
346
+ "special": true
347
+ },
348
+ "100299": {
349
+ "content": "<|dummy_35|>",
350
+ "lstrip": true,
351
+ "normalized": false,
352
+ "rstrip": true,
353
+ "single_word": false,
354
+ "special": true
355
+ },
356
+ "100300": {
357
+ "content": "<|dummy_36|>",
358
+ "lstrip": true,
359
+ "normalized": false,
360
+ "rstrip": true,
361
+ "single_word": false,
362
+ "special": true
363
+ },
364
+ "100301": {
365
+ "content": "<|dummy_37|>",
366
+ "lstrip": true,
367
+ "normalized": false,
368
+ "rstrip": true,
369
+ "single_word": false,
370
+ "special": true
371
+ },
372
+ "100302": {
373
+ "content": "<|dummy_38|>",
374
+ "lstrip": true,
375
+ "normalized": false,
376
+ "rstrip": true,
377
+ "single_word": false,
378
+ "special": true
379
+ },
380
+ "100303": {
381
+ "content": "<|dummy_39|>",
382
+ "lstrip": true,
383
+ "normalized": false,
384
+ "rstrip": true,
385
+ "single_word": false,
386
+ "special": true
387
+ },
388
+ "100304": {
389
+ "content": "<|dummy_40|>",
390
+ "lstrip": true,
391
+ "normalized": false,
392
+ "rstrip": true,
393
+ "single_word": false,
394
+ "special": true
395
+ },
396
+ "100305": {
397
+ "content": "<|dummy_41|>",
398
+ "lstrip": true,
399
+ "normalized": false,
400
+ "rstrip": true,
401
+ "single_word": false,
402
+ "special": true
403
+ },
404
+ "100306": {
405
+ "content": "<|dummy_42|>",
406
+ "lstrip": true,
407
+ "normalized": false,
408
+ "rstrip": true,
409
+ "single_word": false,
410
+ "special": true
411
+ },
412
+ "100307": {
413
+ "content": "<|dummy_43|>",
414
+ "lstrip": true,
415
+ "normalized": false,
416
+ "rstrip": true,
417
+ "single_word": false,
418
+ "special": true
419
+ },
420
+ "100308": {
421
+ "content": "<|dummy_44|>",
422
+ "lstrip": true,
423
+ "normalized": false,
424
+ "rstrip": true,
425
+ "single_word": false,
426
+ "special": true
427
+ },
428
+ "100309": {
429
+ "content": "<|dummy_45|>",
430
+ "lstrip": true,
431
+ "normalized": false,
432
+ "rstrip": true,
433
+ "single_word": false,
434
+ "special": true
435
+ },
436
+ "100310": {
437
+ "content": "<|dummy_46|>",
438
+ "lstrip": true,
439
+ "normalized": false,
440
+ "rstrip": true,
441
+ "single_word": false,
442
+ "special": true
443
+ },
444
+ "100311": {
445
+ "content": "<|dummy_47|>",
446
+ "lstrip": true,
447
+ "normalized": false,
448
+ "rstrip": true,
449
+ "single_word": false,
450
+ "special": true
451
+ },
452
+ "100312": {
453
+ "content": "<|dummy_48|>",
454
+ "lstrip": true,
455
+ "normalized": false,
456
+ "rstrip": true,
457
+ "single_word": false,
458
+ "special": true
459
+ },
460
+ "100313": {
461
+ "content": "<|dummy_49|>",
462
+ "lstrip": true,
463
+ "normalized": false,
464
+ "rstrip": true,
465
+ "single_word": false,
466
+ "special": true
467
+ },
468
+ "100314": {
469
+ "content": "<|dummy_50|>",
470
+ "lstrip": true,
471
+ "normalized": false,
472
+ "rstrip": true,
473
+ "single_word": false,
474
+ "special": true
475
+ },
476
+ "100315": {
477
+ "content": "<|dummy_51|>",
478
+ "lstrip": true,
479
+ "normalized": false,
480
+ "rstrip": true,
481
+ "single_word": false,
482
+ "special": true
483
+ },
484
+ "100316": {
485
+ "content": "<|dummy_52|>",
486
+ "lstrip": true,
487
+ "normalized": false,
488
+ "rstrip": true,
489
+ "single_word": false,
490
+ "special": true
491
+ },
492
+ "100317": {
493
+ "content": "<|dummy_53|>",
494
+ "lstrip": true,
495
+ "normalized": false,
496
+ "rstrip": true,
497
+ "single_word": false,
498
+ "special": true
499
+ },
500
+ "100318": {
501
+ "content": "<|dummy_54|>",
502
+ "lstrip": true,
503
+ "normalized": false,
504
+ "rstrip": true,
505
+ "single_word": false,
506
+ "special": true
507
+ },
508
+ "100319": {
509
+ "content": "<|dummy_55|>",
510
+ "lstrip": true,
511
+ "normalized": false,
512
+ "rstrip": true,
513
+ "single_word": false,
514
+ "special": true
515
+ },
516
+ "100320": {
517
+ "content": "<|dummy_56|>",
518
+ "lstrip": true,
519
+ "normalized": false,
520
+ "rstrip": true,
521
+ "single_word": false,
522
+ "special": true
523
+ },
524
+ "100321": {
525
+ "content": "<|dummy_57|>",
526
+ "lstrip": true,
527
+ "normalized": false,
528
+ "rstrip": true,
529
+ "single_word": false,
530
+ "special": true
531
+ },
532
+ "100322": {
533
+ "content": "<|dummy_58|>",
534
+ "lstrip": true,
535
+ "normalized": false,
536
+ "rstrip": true,
537
+ "single_word": false,
538
+ "special": true
539
+ },
540
+ "100323": {
541
+ "content": "<|dummy_59|>",
542
+ "lstrip": true,
543
+ "normalized": false,
544
+ "rstrip": true,
545
+ "single_word": false,
546
+ "special": true
547
+ },
548
+ "100324": {
549
+ "content": "<|dummy_60|>",
550
+ "lstrip": true,
551
+ "normalized": false,
552
+ "rstrip": true,
553
+ "single_word": false,
554
+ "special": true
555
+ },
556
+ "100325": {
557
+ "content": "<|dummy_61|>",
558
+ "lstrip": true,
559
+ "normalized": false,
560
+ "rstrip": true,
561
+ "single_word": false,
562
+ "special": true
563
+ },
564
+ "100326": {
565
+ "content": "<|dummy_62|>",
566
+ "lstrip": true,
567
+ "normalized": false,
568
+ "rstrip": true,
569
+ "single_word": false,
570
+ "special": true
571
+ },
572
+ "100327": {
573
+ "content": "<|dummy_63|>",
574
+ "lstrip": true,
575
+ "normalized": false,
576
+ "rstrip": true,
577
+ "single_word": false,
578
+ "special": true
579
+ },
580
+ "100328": {
581
+ "content": "<|dummy_64|>",
582
+ "lstrip": true,
583
+ "normalized": false,
584
+ "rstrip": true,
585
+ "single_word": false,
586
+ "special": true
587
+ },
588
+ "100329": {
589
+ "content": "<|dummy_65|>",
590
+ "lstrip": true,
591
+ "normalized": false,
592
+ "rstrip": true,
593
+ "single_word": false,
594
+ "special": true
595
+ },
596
+ "100330": {
597
+ "content": "<|dummy_66|>",
598
+ "lstrip": true,
599
+ "normalized": false,
600
+ "rstrip": true,
601
+ "single_word": false,
602
+ "special": true
603
+ },
604
+ "100331": {
605
+ "content": "<|dummy_67|>",
606
+ "lstrip": true,
607
+ "normalized": false,
608
+ "rstrip": true,
609
+ "single_word": false,
610
+ "special": true
611
+ },
612
+ "100332": {
613
+ "content": "<|dummy_68|>",
614
+ "lstrip": true,
615
+ "normalized": false,
616
+ "rstrip": true,
617
+ "single_word": false,
618
+ "special": true
619
+ },
620
+ "100333": {
621
+ "content": "<|dummy_69|>",
622
+ "lstrip": true,
623
+ "normalized": false,
624
+ "rstrip": true,
625
+ "single_word": false,
626
+ "special": true
627
+ },
628
+ "100334": {
629
+ "content": "<|dummy_70|>",
630
+ "lstrip": true,
631
+ "normalized": false,
632
+ "rstrip": true,
633
+ "single_word": false,
634
+ "special": true
635
+ },
636
+ "100335": {
637
+ "content": "<|dummy_71|>",
638
+ "lstrip": true,
639
+ "normalized": false,
640
+ "rstrip": true,
641
+ "single_word": false,
642
+ "special": true
643
+ },
644
+ "100336": {
645
+ "content": "<|dummy_72|>",
646
+ "lstrip": true,
647
+ "normalized": false,
648
+ "rstrip": true,
649
+ "single_word": false,
650
+ "special": true
651
+ },
652
+ "100337": {
653
+ "content": "<|dummy_73|>",
654
+ "lstrip": true,
655
+ "normalized": false,
656
+ "rstrip": true,
657
+ "single_word": false,
658
+ "special": true
659
+ },
660
+ "100338": {
661
+ "content": "<|dummy_74|>",
662
+ "lstrip": true,
663
+ "normalized": false,
664
+ "rstrip": true,
665
+ "single_word": false,
666
+ "special": true
667
+ },
668
+ "100339": {
669
+ "content": "<|dummy_75|>",
670
+ "lstrip": true,
671
+ "normalized": false,
672
+ "rstrip": true,
673
+ "single_word": false,
674
+ "special": true
675
+ },
676
+ "100340": {
677
+ "content": "<|dummy_76|>",
678
+ "lstrip": true,
679
+ "normalized": false,
680
+ "rstrip": true,
681
+ "single_word": false,
682
+ "special": true
683
+ },
684
+ "100341": {
685
+ "content": "<|dummy_77|>",
686
+ "lstrip": true,
687
+ "normalized": false,
688
+ "rstrip": true,
689
+ "single_word": false,
690
+ "special": true
691
+ },
692
+ "100342": {
693
+ "content": "<|dummy_78|>",
694
+ "lstrip": true,
695
+ "normalized": false,
696
+ "rstrip": true,
697
+ "single_word": false,
698
+ "special": true
699
+ },
700
+ "100343": {
701
+ "content": "<|dummy_79|>",
702
+ "lstrip": true,
703
+ "normalized": false,
704
+ "rstrip": true,
705
+ "single_word": false,
706
+ "special": true
707
+ },
708
+ "100344": {
709
+ "content": "<|dummy_80|>",
710
+ "lstrip": true,
711
+ "normalized": false,
712
+ "rstrip": true,
713
+ "single_word": false,
714
+ "special": true
715
+ },
716
+ "100345": {
717
+ "content": "<|dummy_81|>",
718
+ "lstrip": true,
719
+ "normalized": false,
720
+ "rstrip": true,
721
+ "single_word": false,
722
+ "special": true
723
+ },
724
+ "100346": {
725
+ "content": "<|dummy_82|>",
726
+ "lstrip": true,
727
+ "normalized": false,
728
+ "rstrip": true,
729
+ "single_word": false,
730
+ "special": true
731
+ },
732
+ "100347": {
733
+ "content": "<|dummy_83|>",
734
+ "lstrip": true,
735
+ "normalized": false,
736
+ "rstrip": true,
737
+ "single_word": false,
738
+ "special": true
739
+ },
740
+ "100348": {
741
+ "content": "<|dummy_84|>",
742
+ "lstrip": true,
743
+ "normalized": false,
744
+ "rstrip": true,
745
+ "single_word": false,
746
+ "special": true
747
+ },
748
+ "100349": {
749
+ "content": "<|dummy_85|>",
750
+ "lstrip": true,
751
+ "normalized": false,
752
+ "rstrip": true,
753
+ "single_word": false,
754
+ "special": true
755
+ },
756
+ "100350": {
757
+ "content": "<|dummy_86|>",
758
+ "lstrip": true,
759
+ "normalized": false,
760
+ "rstrip": true,
761
+ "single_word": false,
762
+ "special": true
763
+ },
764
+ "100351": {
765
+ "content": "<|dummy_87|>",
766
+ "lstrip": true,
767
+ "normalized": false,
768
+ "rstrip": true,
769
+ "single_word": false,
770
+ "special": true
771
+ }
772
+ },
773
+ "bos_token": "<|endoftext|>",
774
+ "chat_template": "{% for message in messages %}{% if (message['role'] == 'system') %}{{'<|im_start|>system<|im_sep|>' + message['content'] + '<|im_end|>'}}{% elif (message['role'] == 'user') %}{{'<|im_start|>user<|im_sep|>' + message['content'] + '<|im_end|><|im_start|>assistant<|im_sep|>'}}{% elif (message['role'] == 'assistant') %}{{message['content'] + '<|im_end|>'}}{% endif %}{% endfor %}",
775
+ "clean_up_tokenization_spaces": false,
776
+ "eos_token": "<|endoftext|>",
777
+ "model_max_length": 16384,
778
+ "pad_token": "<|endoftext|>",
779
+ "tokenizer_class": "GPT2Tokenizer",
780
+ "unk_token": "<|endoftext|>"
781
+ }
trainer_state.json ADDED
@@ -0,0 +1,2865 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.1412268188302426,
5
+ "eval_steps": 1000,
6
+ "global_step": 4000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0028530670470756064,
13
+ "grad_norm": 12.738757213188315,
14
+ "learning_rate": 5.000000000000001e-07,
15
+ "loss": 1.3983,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.005706134094151213,
20
+ "grad_norm": 4.573132593653715,
21
+ "learning_rate": 1.0000000000000002e-06,
22
+ "loss": 1.2207,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.008559201141226819,
27
+ "grad_norm": 2.607415963265715,
28
+ "learning_rate": 1.5e-06,
29
+ "loss": 0.8804,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.011412268188302425,
34
+ "grad_norm": 1.4566842335760672,
35
+ "learning_rate": 2.0000000000000003e-06,
36
+ "loss": 0.695,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.014265335235378032,
41
+ "grad_norm": 1.2148255794768892,
42
+ "learning_rate": 2.5e-06,
43
+ "loss": 0.5464,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.017118402282453638,
48
+ "grad_norm": 1.6916303315740489,
49
+ "learning_rate": 3e-06,
50
+ "loss": 0.4627,
51
+ "step": 60
52
+ },
53
+ {
54
+ "epoch": 0.019971469329529243,
55
+ "grad_norm": 1.7004102978289282,
56
+ "learning_rate": 3.5e-06,
57
+ "loss": 0.4077,
58
+ "step": 70
59
+ },
60
+ {
61
+ "epoch": 0.02282453637660485,
62
+ "grad_norm": 1.653253610336802,
63
+ "learning_rate": 4.000000000000001e-06,
64
+ "loss": 0.3841,
65
+ "step": 80
66
+ },
67
+ {
68
+ "epoch": 0.025677603423680456,
69
+ "grad_norm": 1.689309973059402,
70
+ "learning_rate": 4.5e-06,
71
+ "loss": 0.364,
72
+ "step": 90
73
+ },
74
+ {
75
+ "epoch": 0.028530670470756064,
76
+ "grad_norm": 1.6046281123266535,
77
+ "learning_rate": 5e-06,
78
+ "loss": 0.3403,
79
+ "step": 100
80
+ },
81
+ {
82
+ "epoch": 0.03138373751783167,
83
+ "grad_norm": 1.4967297752688393,
84
+ "learning_rate": 4.9999886265851494e-06,
85
+ "loss": 0.3297,
86
+ "step": 110
87
+ },
88
+ {
89
+ "epoch": 0.034236804564907276,
90
+ "grad_norm": 1.0241239996443163,
91
+ "learning_rate": 4.999954506444081e-06,
92
+ "loss": 0.32,
93
+ "step": 120
94
+ },
95
+ {
96
+ "epoch": 0.037089871611982884,
97
+ "grad_norm": 0.8077512735887262,
98
+ "learning_rate": 4.999897639887245e-06,
99
+ "loss": 0.313,
100
+ "step": 130
101
+ },
102
+ {
103
+ "epoch": 0.039942938659058486,
104
+ "grad_norm": 0.6435179766620793,
105
+ "learning_rate": 4.999818027432054e-06,
106
+ "loss": 0.3047,
107
+ "step": 140
108
+ },
109
+ {
110
+ "epoch": 0.042796005706134094,
111
+ "grad_norm": 0.6182488561257354,
112
+ "learning_rate": 4.999715669802881e-06,
113
+ "loss": 0.3026,
114
+ "step": 150
115
+ },
116
+ {
117
+ "epoch": 0.0456490727532097,
118
+ "grad_norm": 0.5522422292679724,
119
+ "learning_rate": 4.999590567931051e-06,
120
+ "loss": 0.2946,
121
+ "step": 160
122
+ },
123
+ {
124
+ "epoch": 0.04850213980028531,
125
+ "grad_norm": 0.5700106345726289,
126
+ "learning_rate": 4.999442722954833e-06,
127
+ "loss": 0.3013,
128
+ "step": 170
129
+ },
130
+ {
131
+ "epoch": 0.05135520684736091,
132
+ "grad_norm": 0.5460665115135962,
133
+ "learning_rate": 4.999272136219427e-06,
134
+ "loss": 0.2916,
135
+ "step": 180
136
+ },
137
+ {
138
+ "epoch": 0.05420827389443652,
139
+ "grad_norm": 0.5283057748722413,
140
+ "learning_rate": 4.999078809276956e-06,
141
+ "loss": 0.2906,
142
+ "step": 190
143
+ },
144
+ {
145
+ "epoch": 0.05706134094151213,
146
+ "grad_norm": 0.6617475985080037,
147
+ "learning_rate": 4.998862743886452e-06,
148
+ "loss": 0.2909,
149
+ "step": 200
150
+ },
151
+ {
152
+ "epoch": 0.05991440798858773,
153
+ "grad_norm": 0.49064170191851164,
154
+ "learning_rate": 4.998623942013835e-06,
155
+ "loss": 0.2923,
156
+ "step": 210
157
+ },
158
+ {
159
+ "epoch": 0.06276747503566334,
160
+ "grad_norm": 0.5449673849225073,
161
+ "learning_rate": 4.998362405831898e-06,
162
+ "loss": 0.2904,
163
+ "step": 220
164
+ },
165
+ {
166
+ "epoch": 0.06562054208273894,
167
+ "grad_norm": 0.5178385304622709,
168
+ "learning_rate": 4.998078137720292e-06,
169
+ "loss": 0.2885,
170
+ "step": 230
171
+ },
172
+ {
173
+ "epoch": 0.06847360912981455,
174
+ "grad_norm": 0.6013270184068287,
175
+ "learning_rate": 4.997771140265491e-06,
176
+ "loss": 0.2896,
177
+ "step": 240
178
+ },
179
+ {
180
+ "epoch": 0.07132667617689016,
181
+ "grad_norm": 0.5036999676599386,
182
+ "learning_rate": 4.997441416260788e-06,
183
+ "loss": 0.2875,
184
+ "step": 250
185
+ },
186
+ {
187
+ "epoch": 0.07417974322396577,
188
+ "grad_norm": 0.49633104688002133,
189
+ "learning_rate": 4.997088968706251e-06,
190
+ "loss": 0.2862,
191
+ "step": 260
192
+ },
193
+ {
194
+ "epoch": 0.07703281027104136,
195
+ "grad_norm": 0.5030540697220535,
196
+ "learning_rate": 4.996713800808705e-06,
197
+ "loss": 0.2849,
198
+ "step": 270
199
+ },
200
+ {
201
+ "epoch": 0.07988587731811697,
202
+ "grad_norm": 0.8538545541191804,
203
+ "learning_rate": 4.996315915981702e-06,
204
+ "loss": 0.2891,
205
+ "step": 280
206
+ },
207
+ {
208
+ "epoch": 0.08273894436519258,
209
+ "grad_norm": 0.5542761326465268,
210
+ "learning_rate": 4.995895317845491e-06,
211
+ "loss": 0.2813,
212
+ "step": 290
213
+ },
214
+ {
215
+ "epoch": 0.08559201141226819,
216
+ "grad_norm": 0.4831357039573924,
217
+ "learning_rate": 4.995452010226981e-06,
218
+ "loss": 0.2822,
219
+ "step": 300
220
+ },
221
+ {
222
+ "epoch": 0.0884450784593438,
223
+ "grad_norm": 0.49413470727490605,
224
+ "learning_rate": 4.9949859971597084e-06,
225
+ "loss": 0.2839,
226
+ "step": 310
227
+ },
228
+ {
229
+ "epoch": 0.0912981455064194,
230
+ "grad_norm": 0.49715798319643933,
231
+ "learning_rate": 4.994497282883802e-06,
232
+ "loss": 0.2838,
233
+ "step": 320
234
+ },
235
+ {
236
+ "epoch": 0.09415121255349501,
237
+ "grad_norm": 0.4937351105629805,
238
+ "learning_rate": 4.993985871845942e-06,
239
+ "loss": 0.2783,
240
+ "step": 330
241
+ },
242
+ {
243
+ "epoch": 0.09700427960057062,
244
+ "grad_norm": 0.5310943504340412,
245
+ "learning_rate": 4.99345176869932e-06,
246
+ "loss": 0.2826,
247
+ "step": 340
248
+ },
249
+ {
250
+ "epoch": 0.09985734664764621,
251
+ "grad_norm": 0.4962386074023998,
252
+ "learning_rate": 4.992894978303597e-06,
253
+ "loss": 0.2768,
254
+ "step": 350
255
+ },
256
+ {
257
+ "epoch": 0.10271041369472182,
258
+ "grad_norm": 0.4910162543594788,
259
+ "learning_rate": 4.992315505724861e-06,
260
+ "loss": 0.2801,
261
+ "step": 360
262
+ },
263
+ {
264
+ "epoch": 0.10556348074179743,
265
+ "grad_norm": 0.4843795289621177,
266
+ "learning_rate": 4.991713356235576e-06,
267
+ "loss": 0.2785,
268
+ "step": 370
269
+ },
270
+ {
271
+ "epoch": 0.10841654778887304,
272
+ "grad_norm": 0.47267521696329656,
273
+ "learning_rate": 4.991088535314539e-06,
274
+ "loss": 0.2776,
275
+ "step": 380
276
+ },
277
+ {
278
+ "epoch": 0.11126961483594865,
279
+ "grad_norm": 0.49940435343646394,
280
+ "learning_rate": 4.990441048646828e-06,
281
+ "loss": 0.2772,
282
+ "step": 390
283
+ },
284
+ {
285
+ "epoch": 0.11412268188302425,
286
+ "grad_norm": 0.5844532702472411,
287
+ "learning_rate": 4.989770902123752e-06,
288
+ "loss": 0.2785,
289
+ "step": 400
290
+ },
291
+ {
292
+ "epoch": 0.11697574893009986,
293
+ "grad_norm": 0.4631470746659208,
294
+ "learning_rate": 4.989078101842792e-06,
295
+ "loss": 0.2738,
296
+ "step": 410
297
+ },
298
+ {
299
+ "epoch": 0.11982881597717546,
300
+ "grad_norm": 0.5086487339844298,
301
+ "learning_rate": 4.988362654107554e-06,
302
+ "loss": 0.2808,
303
+ "step": 420
304
+ },
305
+ {
306
+ "epoch": 0.12268188302425106,
307
+ "grad_norm": 0.47741692592940005,
308
+ "learning_rate": 4.9876245654277054e-06,
309
+ "loss": 0.281,
310
+ "step": 430
311
+ },
312
+ {
313
+ "epoch": 0.12553495007132667,
314
+ "grad_norm": 0.5008330267900547,
315
+ "learning_rate": 4.986863842518916e-06,
316
+ "loss": 0.277,
317
+ "step": 440
318
+ },
319
+ {
320
+ "epoch": 0.12838801711840228,
321
+ "grad_norm": 0.48974085937848094,
322
+ "learning_rate": 4.986080492302799e-06,
323
+ "loss": 0.2709,
324
+ "step": 450
325
+ },
326
+ {
327
+ "epoch": 0.1312410841654779,
328
+ "grad_norm": 0.5318382363555189,
329
+ "learning_rate": 4.98527452190685e-06,
330
+ "loss": 0.2775,
331
+ "step": 460
332
+ },
333
+ {
334
+ "epoch": 0.1340941512125535,
335
+ "grad_norm": 0.4518864804676144,
336
+ "learning_rate": 4.984445938664376e-06,
337
+ "loss": 0.276,
338
+ "step": 470
339
+ },
340
+ {
341
+ "epoch": 0.1369472182596291,
342
+ "grad_norm": 0.4814601248508118,
343
+ "learning_rate": 4.983594750114434e-06,
344
+ "loss": 0.2772,
345
+ "step": 480
346
+ },
347
+ {
348
+ "epoch": 0.1398002853067047,
349
+ "grad_norm": 0.4489516327124342,
350
+ "learning_rate": 4.982720964001762e-06,
351
+ "loss": 0.2756,
352
+ "step": 490
353
+ },
354
+ {
355
+ "epoch": 0.14265335235378032,
356
+ "grad_norm": 0.5902810377681712,
357
+ "learning_rate": 4.981824588276702e-06,
358
+ "loss": 0.2739,
359
+ "step": 500
360
+ },
361
+ {
362
+ "epoch": 0.14550641940085593,
363
+ "grad_norm": 0.4733751511637321,
364
+ "learning_rate": 4.980905631095139e-06,
365
+ "loss": 0.2758,
366
+ "step": 510
367
+ },
368
+ {
369
+ "epoch": 0.14835948644793154,
370
+ "grad_norm": 0.4876727563136549,
371
+ "learning_rate": 4.97996410081842e-06,
372
+ "loss": 0.2725,
373
+ "step": 520
374
+ },
375
+ {
376
+ "epoch": 0.15121255349500715,
377
+ "grad_norm": 0.47342204196031207,
378
+ "learning_rate": 4.979000006013272e-06,
379
+ "loss": 0.2743,
380
+ "step": 530
381
+ },
382
+ {
383
+ "epoch": 0.15406562054208273,
384
+ "grad_norm": 0.6175379692483637,
385
+ "learning_rate": 4.978013355451737e-06,
386
+ "loss": 0.2736,
387
+ "step": 540
388
+ },
389
+ {
390
+ "epoch": 0.15691868758915833,
391
+ "grad_norm": 0.46511042837002475,
392
+ "learning_rate": 4.977004158111085e-06,
393
+ "loss": 0.2713,
394
+ "step": 550
395
+ },
396
+ {
397
+ "epoch": 0.15977175463623394,
398
+ "grad_norm": 0.5460372685613308,
399
+ "learning_rate": 4.9759724231737314e-06,
400
+ "loss": 0.2722,
401
+ "step": 560
402
+ },
403
+ {
404
+ "epoch": 0.16262482168330955,
405
+ "grad_norm": 0.45534826155428965,
406
+ "learning_rate": 4.974918160027154e-06,
407
+ "loss": 0.2723,
408
+ "step": 570
409
+ },
410
+ {
411
+ "epoch": 0.16547788873038516,
412
+ "grad_norm": 0.45090632277751,
413
+ "learning_rate": 4.973841378263814e-06,
414
+ "loss": 0.2724,
415
+ "step": 580
416
+ },
417
+ {
418
+ "epoch": 0.16833095577746077,
419
+ "grad_norm": 0.4842622057551346,
420
+ "learning_rate": 4.972742087681057e-06,
421
+ "loss": 0.2712,
422
+ "step": 590
423
+ },
424
+ {
425
+ "epoch": 0.17118402282453637,
426
+ "grad_norm": 0.46110522709871865,
427
+ "learning_rate": 4.971620298281035e-06,
428
+ "loss": 0.27,
429
+ "step": 600
430
+ },
431
+ {
432
+ "epoch": 0.17403708987161198,
433
+ "grad_norm": 0.4818257920535842,
434
+ "learning_rate": 4.970476020270608e-06,
435
+ "loss": 0.269,
436
+ "step": 610
437
+ },
438
+ {
439
+ "epoch": 0.1768901569186876,
440
+ "grad_norm": 0.48740402413847767,
441
+ "learning_rate": 4.969309264061255e-06,
442
+ "loss": 0.2743,
443
+ "step": 620
444
+ },
445
+ {
446
+ "epoch": 0.1797432239657632,
447
+ "grad_norm": 0.48077635195269214,
448
+ "learning_rate": 4.968120040268978e-06,
449
+ "loss": 0.2725,
450
+ "step": 630
451
+ },
452
+ {
453
+ "epoch": 0.1825962910128388,
454
+ "grad_norm": 0.46487834338154116,
455
+ "learning_rate": 4.966908359714206e-06,
456
+ "loss": 0.2681,
457
+ "step": 640
458
+ },
459
+ {
460
+ "epoch": 0.18544935805991442,
461
+ "grad_norm": 0.865148162215464,
462
+ "learning_rate": 4.965674233421693e-06,
463
+ "loss": 0.2737,
464
+ "step": 650
465
+ },
466
+ {
467
+ "epoch": 0.18830242510699002,
468
+ "grad_norm": 0.4411958842345361,
469
+ "learning_rate": 4.964417672620427e-06,
470
+ "loss": 0.269,
471
+ "step": 660
472
+ },
473
+ {
474
+ "epoch": 0.19115549215406563,
475
+ "grad_norm": 0.4721096540391217,
476
+ "learning_rate": 4.963138688743515e-06,
477
+ "loss": 0.2727,
478
+ "step": 670
479
+ },
480
+ {
481
+ "epoch": 0.19400855920114124,
482
+ "grad_norm": 0.4749289898782321,
483
+ "learning_rate": 4.96183729342809e-06,
484
+ "loss": 0.2675,
485
+ "step": 680
486
+ },
487
+ {
488
+ "epoch": 0.19686162624821682,
489
+ "grad_norm": 0.4475533049685516,
490
+ "learning_rate": 4.960513498515198e-06,
491
+ "loss": 0.2697,
492
+ "step": 690
493
+ },
494
+ {
495
+ "epoch": 0.19971469329529243,
496
+ "grad_norm": 0.4628820330767458,
497
+ "learning_rate": 4.959167316049695e-06,
498
+ "loss": 0.2698,
499
+ "step": 700
500
+ },
501
+ {
502
+ "epoch": 0.20256776034236804,
503
+ "grad_norm": 0.46916030608414716,
504
+ "learning_rate": 4.957798758280133e-06,
505
+ "loss": 0.271,
506
+ "step": 710
507
+ },
508
+ {
509
+ "epoch": 0.20542082738944364,
510
+ "grad_norm": 0.4545114466912326,
511
+ "learning_rate": 4.956407837658654e-06,
512
+ "loss": 0.2657,
513
+ "step": 720
514
+ },
515
+ {
516
+ "epoch": 0.20827389443651925,
517
+ "grad_norm": 0.43736837830336234,
518
+ "learning_rate": 4.954994566840869e-06,
519
+ "loss": 0.2669,
520
+ "step": 730
521
+ },
522
+ {
523
+ "epoch": 0.21112696148359486,
524
+ "grad_norm": 0.43214532509621273,
525
+ "learning_rate": 4.9535589586857535e-06,
526
+ "loss": 0.271,
527
+ "step": 740
528
+ },
529
+ {
530
+ "epoch": 0.21398002853067047,
531
+ "grad_norm": 0.4583545225436044,
532
+ "learning_rate": 4.952101026255519e-06,
533
+ "loss": 0.2693,
534
+ "step": 750
535
+ },
536
+ {
537
+ "epoch": 0.21683309557774608,
538
+ "grad_norm": 0.43639880262186087,
539
+ "learning_rate": 4.950620782815503e-06,
540
+ "loss": 0.2621,
541
+ "step": 760
542
+ },
543
+ {
544
+ "epoch": 0.21968616262482168,
545
+ "grad_norm": 0.4476657629981296,
546
+ "learning_rate": 4.949118241834043e-06,
547
+ "loss": 0.2674,
548
+ "step": 770
549
+ },
550
+ {
551
+ "epoch": 0.2225392296718973,
552
+ "grad_norm": 0.5350799910644292,
553
+ "learning_rate": 4.9475934169823555e-06,
554
+ "loss": 0.271,
555
+ "step": 780
556
+ },
557
+ {
558
+ "epoch": 0.2253922967189729,
559
+ "grad_norm": 0.4543328929999822,
560
+ "learning_rate": 4.9460463221344155e-06,
561
+ "loss": 0.2696,
562
+ "step": 790
563
+ },
564
+ {
565
+ "epoch": 0.2282453637660485,
566
+ "grad_norm": 0.4451416033507459,
567
+ "learning_rate": 4.944476971366823e-06,
568
+ "loss": 0.2665,
569
+ "step": 800
570
+ },
571
+ {
572
+ "epoch": 0.23109843081312412,
573
+ "grad_norm": 0.569109136888445,
574
+ "learning_rate": 4.9428853789586785e-06,
575
+ "loss": 0.2637,
576
+ "step": 810
577
+ },
578
+ {
579
+ "epoch": 0.23395149786019973,
580
+ "grad_norm": 0.4524997655780825,
581
+ "learning_rate": 4.9412715593914566e-06,
582
+ "loss": 0.2645,
583
+ "step": 820
584
+ },
585
+ {
586
+ "epoch": 0.23680456490727533,
587
+ "grad_norm": 0.44614915653478204,
588
+ "learning_rate": 4.939635527348867e-06,
589
+ "loss": 0.2664,
590
+ "step": 830
591
+ },
592
+ {
593
+ "epoch": 0.2396576319543509,
594
+ "grad_norm": 0.4522775732411208,
595
+ "learning_rate": 4.937977297716729e-06,
596
+ "loss": 0.2639,
597
+ "step": 840
598
+ },
599
+ {
600
+ "epoch": 0.24251069900142652,
601
+ "grad_norm": 0.4851573497130338,
602
+ "learning_rate": 4.936296885582827e-06,
603
+ "loss": 0.2681,
604
+ "step": 850
605
+ },
606
+ {
607
+ "epoch": 0.24536376604850213,
608
+ "grad_norm": 0.4561207795491063,
609
+ "learning_rate": 4.934594306236783e-06,
610
+ "loss": 0.2667,
611
+ "step": 860
612
+ },
613
+ {
614
+ "epoch": 0.24821683309557774,
615
+ "grad_norm": 0.43239589534049766,
616
+ "learning_rate": 4.932869575169907e-06,
617
+ "loss": 0.2666,
618
+ "step": 870
619
+ },
620
+ {
621
+ "epoch": 0.25106990014265335,
622
+ "grad_norm": 0.4577957080766326,
623
+ "learning_rate": 4.9311227080750665e-06,
624
+ "loss": 0.2685,
625
+ "step": 880
626
+ },
627
+ {
628
+ "epoch": 0.25392296718972895,
629
+ "grad_norm": 0.5847319935303987,
630
+ "learning_rate": 4.929353720846537e-06,
631
+ "loss": 0.2657,
632
+ "step": 890
633
+ },
634
+ {
635
+ "epoch": 0.25677603423680456,
636
+ "grad_norm": 0.4277882450989014,
637
+ "learning_rate": 4.9275626295798575e-06,
638
+ "loss": 0.268,
639
+ "step": 900
640
+ },
641
+ {
642
+ "epoch": 0.25962910128388017,
643
+ "grad_norm": 0.45465429351905756,
644
+ "learning_rate": 4.9257494505716885e-06,
645
+ "loss": 0.2651,
646
+ "step": 910
647
+ },
648
+ {
649
+ "epoch": 0.2624821683309558,
650
+ "grad_norm": 0.5463528873483586,
651
+ "learning_rate": 4.923914200319659e-06,
652
+ "loss": 0.2648,
653
+ "step": 920
654
+ },
655
+ {
656
+ "epoch": 0.2653352353780314,
657
+ "grad_norm": 0.43237436892519443,
658
+ "learning_rate": 4.922056895522219e-06,
659
+ "loss": 0.2608,
660
+ "step": 930
661
+ },
662
+ {
663
+ "epoch": 0.268188302425107,
664
+ "grad_norm": 0.4336706485840371,
665
+ "learning_rate": 4.920177553078488e-06,
666
+ "loss": 0.2633,
667
+ "step": 940
668
+ },
669
+ {
670
+ "epoch": 0.2710413694721826,
671
+ "grad_norm": 0.42928653379024545,
672
+ "learning_rate": 4.918276190088097e-06,
673
+ "loss": 0.2619,
674
+ "step": 950
675
+ },
676
+ {
677
+ "epoch": 0.2738944365192582,
678
+ "grad_norm": 0.42378464697261636,
679
+ "learning_rate": 4.916352823851039e-06,
680
+ "loss": 0.2639,
681
+ "step": 960
682
+ },
683
+ {
684
+ "epoch": 0.2767475035663338,
685
+ "grad_norm": 0.479336654101038,
686
+ "learning_rate": 4.9144074718675096e-06,
687
+ "loss": 0.2633,
688
+ "step": 970
689
+ },
690
+ {
691
+ "epoch": 0.2796005706134094,
692
+ "grad_norm": 0.44958869313136685,
693
+ "learning_rate": 4.912440151837741e-06,
694
+ "loss": 0.2604,
695
+ "step": 980
696
+ },
697
+ {
698
+ "epoch": 0.28245363766048504,
699
+ "grad_norm": 0.5313438040766252,
700
+ "learning_rate": 4.910450881661854e-06,
701
+ "loss": 0.2614,
702
+ "step": 990
703
+ },
704
+ {
705
+ "epoch": 0.28530670470756064,
706
+ "grad_norm": 0.45263061822213785,
707
+ "learning_rate": 4.908439679439683e-06,
708
+ "loss": 0.265,
709
+ "step": 1000
710
+ },
711
+ {
712
+ "epoch": 0.28530670470756064,
713
+ "eval_loss": 0.26471513509750366,
714
+ "eval_runtime": 1742.5629,
715
+ "eval_samples_per_second": 10.4,
716
+ "eval_steps_per_second": 0.041,
717
+ "step": 1000
718
+ },
719
+ {
720
+ "epoch": 0.28815977175463625,
721
+ "grad_norm": 0.44311080830159827,
722
+ "learning_rate": 4.906406563470618e-06,
723
+ "loss": 0.2671,
724
+ "step": 1010
725
+ },
726
+ {
727
+ "epoch": 0.29101283880171186,
728
+ "grad_norm": 0.44554515219755003,
729
+ "learning_rate": 4.904351552253437e-06,
730
+ "loss": 0.2643,
731
+ "step": 1020
732
+ },
733
+ {
734
+ "epoch": 0.29386590584878747,
735
+ "grad_norm": 0.44722094387626915,
736
+ "learning_rate": 4.902274664486135e-06,
737
+ "loss": 0.2599,
738
+ "step": 1030
739
+ },
740
+ {
741
+ "epoch": 0.2967189728958631,
742
+ "grad_norm": 0.4328390108638598,
743
+ "learning_rate": 4.900175919065757e-06,
744
+ "loss": 0.263,
745
+ "step": 1040
746
+ },
747
+ {
748
+ "epoch": 0.2995720399429387,
749
+ "grad_norm": 0.4273990973816548,
750
+ "learning_rate": 4.898055335088225e-06,
751
+ "loss": 0.2633,
752
+ "step": 1050
753
+ },
754
+ {
755
+ "epoch": 0.3024251069900143,
756
+ "grad_norm": 0.44093816145774345,
757
+ "learning_rate": 4.895912931848165e-06,
758
+ "loss": 0.2667,
759
+ "step": 1060
760
+ },
761
+ {
762
+ "epoch": 0.30527817403708984,
763
+ "grad_norm": 0.41805518075725556,
764
+ "learning_rate": 4.893748728838728e-06,
765
+ "loss": 0.259,
766
+ "step": 1070
767
+ },
768
+ {
769
+ "epoch": 0.30813124108416545,
770
+ "grad_norm": 0.4455465834182174,
771
+ "learning_rate": 4.891562745751418e-06,
772
+ "loss": 0.261,
773
+ "step": 1080
774
+ },
775
+ {
776
+ "epoch": 0.31098430813124106,
777
+ "grad_norm": 0.4526375562352427,
778
+ "learning_rate": 4.889355002475909e-06,
779
+ "loss": 0.2657,
780
+ "step": 1090
781
+ },
782
+ {
783
+ "epoch": 0.31383737517831667,
784
+ "grad_norm": 0.4332796375642561,
785
+ "learning_rate": 4.8871255190998644e-06,
786
+ "loss": 0.2627,
787
+ "step": 1100
788
+ },
789
+ {
790
+ "epoch": 0.3166904422253923,
791
+ "grad_norm": 0.4510562211684952,
792
+ "learning_rate": 4.884874315908757e-06,
793
+ "loss": 0.2618,
794
+ "step": 1110
795
+ },
796
+ {
797
+ "epoch": 0.3195435092724679,
798
+ "grad_norm": 0.45101552885502644,
799
+ "learning_rate": 4.882601413385679e-06,
800
+ "loss": 0.2565,
801
+ "step": 1120
802
+ },
803
+ {
804
+ "epoch": 0.3223965763195435,
805
+ "grad_norm": 1.0935110922508877,
806
+ "learning_rate": 4.8803068322111635e-06,
807
+ "loss": 0.2588,
808
+ "step": 1130
809
+ },
810
+ {
811
+ "epoch": 0.3252496433666191,
812
+ "grad_norm": 0.43637967786050386,
813
+ "learning_rate": 4.8779905932629874e-06,
814
+ "loss": 0.2603,
815
+ "step": 1140
816
+ },
817
+ {
818
+ "epoch": 0.3281027104136947,
819
+ "grad_norm": 0.42416148844137713,
820
+ "learning_rate": 4.875652717615989e-06,
821
+ "loss": 0.2598,
822
+ "step": 1150
823
+ },
824
+ {
825
+ "epoch": 0.3309557774607703,
826
+ "grad_norm": 0.4251093273387571,
827
+ "learning_rate": 4.873293226541871e-06,
828
+ "loss": 0.2595,
829
+ "step": 1160
830
+ },
831
+ {
832
+ "epoch": 0.3338088445078459,
833
+ "grad_norm": 0.48415176922179926,
834
+ "learning_rate": 4.870912141509011e-06,
835
+ "loss": 0.2651,
836
+ "step": 1170
837
+ },
838
+ {
839
+ "epoch": 0.33666191155492153,
840
+ "grad_norm": 0.60133878845711,
841
+ "learning_rate": 4.868509484182263e-06,
842
+ "loss": 0.2589,
843
+ "step": 1180
844
+ },
845
+ {
846
+ "epoch": 0.33951497860199714,
847
+ "grad_norm": 0.437484977876018,
848
+ "learning_rate": 4.866085276422761e-06,
849
+ "loss": 0.2615,
850
+ "step": 1190
851
+ },
852
+ {
853
+ "epoch": 0.34236804564907275,
854
+ "grad_norm": 0.4577703915050453,
855
+ "learning_rate": 4.863639540287724e-06,
856
+ "loss": 0.2596,
857
+ "step": 1200
858
+ },
859
+ {
860
+ "epoch": 0.34522111269614836,
861
+ "grad_norm": 0.4500725064644898,
862
+ "learning_rate": 4.861172298030245e-06,
863
+ "loss": 0.2602,
864
+ "step": 1210
865
+ },
866
+ {
867
+ "epoch": 0.34807417974322397,
868
+ "grad_norm": 0.4135593167266766,
869
+ "learning_rate": 4.858683572099104e-06,
870
+ "loss": 0.259,
871
+ "step": 1220
872
+ },
873
+ {
874
+ "epoch": 0.3509272467902996,
875
+ "grad_norm": 0.4534651310157033,
876
+ "learning_rate": 4.856173385138549e-06,
877
+ "loss": 0.2596,
878
+ "step": 1230
879
+ },
880
+ {
881
+ "epoch": 0.3537803138373752,
882
+ "grad_norm": 0.42472565214509456,
883
+ "learning_rate": 4.853641759988098e-06,
884
+ "loss": 0.2601,
885
+ "step": 1240
886
+ },
887
+ {
888
+ "epoch": 0.3566333808844508,
889
+ "grad_norm": 0.43624596360452567,
890
+ "learning_rate": 4.85108871968233e-06,
891
+ "loss": 0.2602,
892
+ "step": 1250
893
+ },
894
+ {
895
+ "epoch": 0.3594864479315264,
896
+ "grad_norm": 0.41607970147664086,
897
+ "learning_rate": 4.848514287450675e-06,
898
+ "loss": 0.2588,
899
+ "step": 1260
900
+ },
901
+ {
902
+ "epoch": 0.362339514978602,
903
+ "grad_norm": 0.4412189776792949,
904
+ "learning_rate": 4.8459184867172e-06,
905
+ "loss": 0.2645,
906
+ "step": 1270
907
+ },
908
+ {
909
+ "epoch": 0.3651925820256776,
910
+ "grad_norm": 0.44224256221516595,
911
+ "learning_rate": 4.8433013411004e-06,
912
+ "loss": 0.2586,
913
+ "step": 1280
914
+ },
915
+ {
916
+ "epoch": 0.3680456490727532,
917
+ "grad_norm": 0.4348734461902946,
918
+ "learning_rate": 4.840662874412983e-06,
919
+ "loss": 0.2612,
920
+ "step": 1290
921
+ },
922
+ {
923
+ "epoch": 0.37089871611982883,
924
+ "grad_norm": 0.42818319713706526,
925
+ "learning_rate": 4.838003110661648e-06,
926
+ "loss": 0.2587,
927
+ "step": 1300
928
+ },
929
+ {
930
+ "epoch": 0.37375178316690444,
931
+ "grad_norm": 0.4451304872359712,
932
+ "learning_rate": 4.8353220740468735e-06,
933
+ "loss": 0.2585,
934
+ "step": 1310
935
+ },
936
+ {
937
+ "epoch": 0.37660485021398005,
938
+ "grad_norm": 0.40548688155079643,
939
+ "learning_rate": 4.832619788962692e-06,
940
+ "loss": 0.2555,
941
+ "step": 1320
942
+ },
943
+ {
944
+ "epoch": 0.37945791726105566,
945
+ "grad_norm": 0.45006278258495436,
946
+ "learning_rate": 4.8298962799964714e-06,
947
+ "loss": 0.2583,
948
+ "step": 1330
949
+ },
950
+ {
951
+ "epoch": 0.38231098430813126,
952
+ "grad_norm": 0.4265482574282557,
953
+ "learning_rate": 4.82715157192869e-06,
954
+ "loss": 0.2589,
955
+ "step": 1340
956
+ },
957
+ {
958
+ "epoch": 0.38516405135520687,
959
+ "grad_norm": 0.43176158718051943,
960
+ "learning_rate": 4.824385689732709e-06,
961
+ "loss": 0.2615,
962
+ "step": 1350
963
+ },
964
+ {
965
+ "epoch": 0.3880171184022825,
966
+ "grad_norm": 0.42858147809592845,
967
+ "learning_rate": 4.8215986585745515e-06,
968
+ "loss": 0.2545,
969
+ "step": 1360
970
+ },
971
+ {
972
+ "epoch": 0.3908701854493581,
973
+ "grad_norm": 0.5680213400128438,
974
+ "learning_rate": 4.818790503812664e-06,
975
+ "loss": 0.2599,
976
+ "step": 1370
977
+ },
978
+ {
979
+ "epoch": 0.39372325249643364,
980
+ "grad_norm": 0.40377635878237433,
981
+ "learning_rate": 4.8159612509976955e-06,
982
+ "loss": 0.2585,
983
+ "step": 1380
984
+ },
985
+ {
986
+ "epoch": 0.39657631954350925,
987
+ "grad_norm": 0.42022314777238234,
988
+ "learning_rate": 4.813110925872258e-06,
989
+ "loss": 0.2595,
990
+ "step": 1390
991
+ },
992
+ {
993
+ "epoch": 0.39942938659058486,
994
+ "grad_norm": 0.40638381972803406,
995
+ "learning_rate": 4.810239554370696e-06,
996
+ "loss": 0.2563,
997
+ "step": 1400
998
+ },
999
+ {
1000
+ "epoch": 0.40228245363766046,
1001
+ "grad_norm": 0.6782938626288993,
1002
+ "learning_rate": 4.807347162618849e-06,
1003
+ "loss": 0.26,
1004
+ "step": 1410
1005
+ },
1006
+ {
1007
+ "epoch": 0.4051355206847361,
1008
+ "grad_norm": 0.4472896472871635,
1009
+ "learning_rate": 4.804433776933814e-06,
1010
+ "loss": 0.2577,
1011
+ "step": 1420
1012
+ },
1013
+ {
1014
+ "epoch": 0.4079885877318117,
1015
+ "grad_norm": 0.4230599782725977,
1016
+ "learning_rate": 4.8014994238237055e-06,
1017
+ "loss": 0.2594,
1018
+ "step": 1430
1019
+ },
1020
+ {
1021
+ "epoch": 0.4108416547788873,
1022
+ "grad_norm": 0.45922873897462896,
1023
+ "learning_rate": 4.798544129987417e-06,
1024
+ "loss": 0.2567,
1025
+ "step": 1440
1026
+ },
1027
+ {
1028
+ "epoch": 0.4136947218259629,
1029
+ "grad_norm": 0.5826469722725868,
1030
+ "learning_rate": 4.7955679223143735e-06,
1031
+ "loss": 0.2612,
1032
+ "step": 1450
1033
+ },
1034
+ {
1035
+ "epoch": 0.4165477888730385,
1036
+ "grad_norm": 0.4187718664079106,
1037
+ "learning_rate": 4.792570827884291e-06,
1038
+ "loss": 0.2575,
1039
+ "step": 1460
1040
+ },
1041
+ {
1042
+ "epoch": 0.4194008559201141,
1043
+ "grad_norm": 0.429325671964738,
1044
+ "learning_rate": 4.789552873966929e-06,
1045
+ "loss": 0.2554,
1046
+ "step": 1470
1047
+ },
1048
+ {
1049
+ "epoch": 0.4222539229671897,
1050
+ "grad_norm": 0.41858743123582154,
1051
+ "learning_rate": 4.78651408802184e-06,
1052
+ "loss": 0.2554,
1053
+ "step": 1480
1054
+ },
1055
+ {
1056
+ "epoch": 0.42510699001426533,
1057
+ "grad_norm": 0.44033025504158285,
1058
+ "learning_rate": 4.7834544976981225e-06,
1059
+ "loss": 0.2592,
1060
+ "step": 1490
1061
+ },
1062
+ {
1063
+ "epoch": 0.42796005706134094,
1064
+ "grad_norm": 0.4273424185754061,
1065
+ "learning_rate": 4.780374130834169e-06,
1066
+ "loss": 0.2553,
1067
+ "step": 1500
1068
+ },
1069
+ {
1070
+ "epoch": 0.43081312410841655,
1071
+ "grad_norm": 0.4323663068566294,
1072
+ "learning_rate": 4.777273015457412e-06,
1073
+ "loss": 0.2548,
1074
+ "step": 1510
1075
+ },
1076
+ {
1077
+ "epoch": 0.43366619115549215,
1078
+ "grad_norm": 0.4445698596020488,
1079
+ "learning_rate": 4.774151179784068e-06,
1080
+ "loss": 0.2566,
1081
+ "step": 1520
1082
+ },
1083
+ {
1084
+ "epoch": 0.43651925820256776,
1085
+ "grad_norm": 0.44015126214223665,
1086
+ "learning_rate": 4.771008652218883e-06,
1087
+ "loss": 0.2582,
1088
+ "step": 1530
1089
+ },
1090
+ {
1091
+ "epoch": 0.43937232524964337,
1092
+ "grad_norm": 0.4163665266324157,
1093
+ "learning_rate": 4.767845461354873e-06,
1094
+ "loss": 0.2556,
1095
+ "step": 1540
1096
+ },
1097
+ {
1098
+ "epoch": 0.442225392296719,
1099
+ "grad_norm": 0.41322404107853195,
1100
+ "learning_rate": 4.764661635973063e-06,
1101
+ "loss": 0.2562,
1102
+ "step": 1550
1103
+ },
1104
+ {
1105
+ "epoch": 0.4450784593437946,
1106
+ "grad_norm": 0.4228007555177404,
1107
+ "learning_rate": 4.7614572050422286e-06,
1108
+ "loss": 0.2517,
1109
+ "step": 1560
1110
+ },
1111
+ {
1112
+ "epoch": 0.4479315263908702,
1113
+ "grad_norm": 0.532694784450123,
1114
+ "learning_rate": 4.7582321977186255e-06,
1115
+ "loss": 0.2543,
1116
+ "step": 1570
1117
+ },
1118
+ {
1119
+ "epoch": 0.4507845934379458,
1120
+ "grad_norm": 0.4073902034975678,
1121
+ "learning_rate": 4.75498664334573e-06,
1122
+ "loss": 0.2589,
1123
+ "step": 1580
1124
+ },
1125
+ {
1126
+ "epoch": 0.4536376604850214,
1127
+ "grad_norm": 0.45006754890846795,
1128
+ "learning_rate": 4.751720571453973e-06,
1129
+ "loss": 0.254,
1130
+ "step": 1590
1131
+ },
1132
+ {
1133
+ "epoch": 0.456490727532097,
1134
+ "grad_norm": 0.4214108734497676,
1135
+ "learning_rate": 4.748434011760467e-06,
1136
+ "loss": 0.259,
1137
+ "step": 1600
1138
+ },
1139
+ {
1140
+ "epoch": 0.4593437945791726,
1141
+ "grad_norm": 0.4859439216376165,
1142
+ "learning_rate": 4.745126994168736e-06,
1143
+ "loss": 0.2545,
1144
+ "step": 1610
1145
+ },
1146
+ {
1147
+ "epoch": 0.46219686162624823,
1148
+ "grad_norm": 0.4295897174181562,
1149
+ "learning_rate": 4.7417995487684475e-06,
1150
+ "loss": 0.2561,
1151
+ "step": 1620
1152
+ },
1153
+ {
1154
+ "epoch": 0.46504992867332384,
1155
+ "grad_norm": 0.4615721735091556,
1156
+ "learning_rate": 4.738451705835134e-06,
1157
+ "loss": 0.2529,
1158
+ "step": 1630
1159
+ },
1160
+ {
1161
+ "epoch": 0.46790299572039945,
1162
+ "grad_norm": 0.4349080676205723,
1163
+ "learning_rate": 4.735083495829922e-06,
1164
+ "loss": 0.2559,
1165
+ "step": 1640
1166
+ },
1167
+ {
1168
+ "epoch": 0.47075606276747506,
1169
+ "grad_norm": 0.4160235794943592,
1170
+ "learning_rate": 4.731694949399251e-06,
1171
+ "loss": 0.2547,
1172
+ "step": 1650
1173
+ },
1174
+ {
1175
+ "epoch": 0.47360912981455067,
1176
+ "grad_norm": 0.4165750292624292,
1177
+ "learning_rate": 4.728286097374596e-06,
1178
+ "loss": 0.2583,
1179
+ "step": 1660
1180
+ },
1181
+ {
1182
+ "epoch": 0.4764621968616263,
1183
+ "grad_norm": 0.42872504814420337,
1184
+ "learning_rate": 4.724856970772187e-06,
1185
+ "loss": 0.2588,
1186
+ "step": 1670
1187
+ },
1188
+ {
1189
+ "epoch": 0.4793152639087018,
1190
+ "grad_norm": 0.4490411001148922,
1191
+ "learning_rate": 4.721407600792729e-06,
1192
+ "loss": 0.2571,
1193
+ "step": 1680
1194
+ },
1195
+ {
1196
+ "epoch": 0.48216833095577744,
1197
+ "grad_norm": 0.4257707550200331,
1198
+ "learning_rate": 4.7179380188211136e-06,
1199
+ "loss": 0.2535,
1200
+ "step": 1690
1201
+ },
1202
+ {
1203
+ "epoch": 0.48502139800285304,
1204
+ "grad_norm": 0.45443727973461423,
1205
+ "learning_rate": 4.714448256426136e-06,
1206
+ "loss": 0.2542,
1207
+ "step": 1700
1208
+ },
1209
+ {
1210
+ "epoch": 0.48787446504992865,
1211
+ "grad_norm": 0.41909169551892117,
1212
+ "learning_rate": 4.7109383453602115e-06,
1213
+ "loss": 0.2564,
1214
+ "step": 1710
1215
+ },
1216
+ {
1217
+ "epoch": 0.49072753209700426,
1218
+ "grad_norm": 0.4238573989595952,
1219
+ "learning_rate": 4.707408317559077e-06,
1220
+ "loss": 0.2532,
1221
+ "step": 1720
1222
+ },
1223
+ {
1224
+ "epoch": 0.49358059914407987,
1225
+ "grad_norm": 0.4479506980321584,
1226
+ "learning_rate": 4.70385820514151e-06,
1227
+ "loss": 0.2542,
1228
+ "step": 1730
1229
+ },
1230
+ {
1231
+ "epoch": 0.4964336661911555,
1232
+ "grad_norm": 0.49416455456248887,
1233
+ "learning_rate": 4.7002880404090326e-06,
1234
+ "loss": 0.2515,
1235
+ "step": 1740
1236
+ },
1237
+ {
1238
+ "epoch": 0.4992867332382311,
1239
+ "grad_norm": 0.41497557289537307,
1240
+ "learning_rate": 4.696697855845615e-06,
1241
+ "loss": 0.253,
1242
+ "step": 1750
1243
+ },
1244
+ {
1245
+ "epoch": 0.5021398002853067,
1246
+ "grad_norm": 0.405311057519384,
1247
+ "learning_rate": 4.693087684117383e-06,
1248
+ "loss": 0.2523,
1249
+ "step": 1760
1250
+ },
1251
+ {
1252
+ "epoch": 0.5049928673323824,
1253
+ "grad_norm": 0.4096518116084079,
1254
+ "learning_rate": 4.689457558072323e-06,
1255
+ "loss": 0.2555,
1256
+ "step": 1770
1257
+ },
1258
+ {
1259
+ "epoch": 0.5078459343794579,
1260
+ "grad_norm": 0.42444645636411893,
1261
+ "learning_rate": 4.6858075107399794e-06,
1262
+ "loss": 0.2532,
1263
+ "step": 1780
1264
+ },
1265
+ {
1266
+ "epoch": 0.5106990014265336,
1267
+ "grad_norm": 0.4469562453504139,
1268
+ "learning_rate": 4.682137575331153e-06,
1269
+ "loss": 0.2509,
1270
+ "step": 1790
1271
+ },
1272
+ {
1273
+ "epoch": 0.5135520684736091,
1274
+ "grad_norm": 0.42408704273613285,
1275
+ "learning_rate": 4.678447785237601e-06,
1276
+ "loss": 0.2526,
1277
+ "step": 1800
1278
+ },
1279
+ {
1280
+ "epoch": 0.5164051355206848,
1281
+ "grad_norm": 0.4119098542142099,
1282
+ "learning_rate": 4.674738174031735e-06,
1283
+ "loss": 0.2521,
1284
+ "step": 1810
1285
+ },
1286
+ {
1287
+ "epoch": 0.5192582025677603,
1288
+ "grad_norm": 0.41779003975229145,
1289
+ "learning_rate": 4.671008775466314e-06,
1290
+ "loss": 0.254,
1291
+ "step": 1820
1292
+ },
1293
+ {
1294
+ "epoch": 0.5221112696148359,
1295
+ "grad_norm": 0.4317147979348233,
1296
+ "learning_rate": 4.667259623474133e-06,
1297
+ "loss": 0.2526,
1298
+ "step": 1830
1299
+ },
1300
+ {
1301
+ "epoch": 0.5249643366619116,
1302
+ "grad_norm": 0.4745777937198977,
1303
+ "learning_rate": 4.663490752167724e-06,
1304
+ "loss": 0.2521,
1305
+ "step": 1840
1306
+ },
1307
+ {
1308
+ "epoch": 0.5278174037089871,
1309
+ "grad_norm": 0.4552627148139544,
1310
+ "learning_rate": 4.6597021958390345e-06,
1311
+ "loss": 0.2522,
1312
+ "step": 1850
1313
+ },
1314
+ {
1315
+ "epoch": 0.5306704707560628,
1316
+ "grad_norm": 0.42753668658640426,
1317
+ "learning_rate": 4.655893988959123e-06,
1318
+ "loss": 0.2522,
1319
+ "step": 1860
1320
+ },
1321
+ {
1322
+ "epoch": 0.5335235378031383,
1323
+ "grad_norm": 0.42474448674162446,
1324
+ "learning_rate": 4.652066166177842e-06,
1325
+ "loss": 0.255,
1326
+ "step": 1870
1327
+ },
1328
+ {
1329
+ "epoch": 0.536376604850214,
1330
+ "grad_norm": 0.4381596996499485,
1331
+ "learning_rate": 4.648218762323527e-06,
1332
+ "loss": 0.2539,
1333
+ "step": 1880
1334
+ },
1335
+ {
1336
+ "epoch": 0.5392296718972895,
1337
+ "grad_norm": 0.41307815162965605,
1338
+ "learning_rate": 4.644351812402672e-06,
1339
+ "loss": 0.2513,
1340
+ "step": 1890
1341
+ },
1342
+ {
1343
+ "epoch": 0.5420827389443652,
1344
+ "grad_norm": 0.4208888996238608,
1345
+ "learning_rate": 4.640465351599618e-06,
1346
+ "loss": 0.2504,
1347
+ "step": 1900
1348
+ },
1349
+ {
1350
+ "epoch": 0.5449358059914408,
1351
+ "grad_norm": 0.39509408192070633,
1352
+ "learning_rate": 4.636559415276231e-06,
1353
+ "loss": 0.2515,
1354
+ "step": 1910
1355
+ },
1356
+ {
1357
+ "epoch": 0.5477888730385164,
1358
+ "grad_norm": 0.4175388256033645,
1359
+ "learning_rate": 4.632634038971576e-06,
1360
+ "loss": 0.2547,
1361
+ "step": 1920
1362
+ },
1363
+ {
1364
+ "epoch": 0.550641940085592,
1365
+ "grad_norm": 0.43772323374782285,
1366
+ "learning_rate": 4.628689258401603e-06,
1367
+ "loss": 0.2526,
1368
+ "step": 1930
1369
+ },
1370
+ {
1371
+ "epoch": 0.5534950071326676,
1372
+ "grad_norm": 0.42283349330961034,
1373
+ "learning_rate": 4.624725109458809e-06,
1374
+ "loss": 0.2537,
1375
+ "step": 1940
1376
+ },
1377
+ {
1378
+ "epoch": 0.5563480741797432,
1379
+ "grad_norm": 0.4208740137670526,
1380
+ "learning_rate": 4.6207416282119246e-06,
1381
+ "loss": 0.2532,
1382
+ "step": 1950
1383
+ },
1384
+ {
1385
+ "epoch": 0.5592011412268189,
1386
+ "grad_norm": 0.435314173012652,
1387
+ "learning_rate": 4.616738850905577e-06,
1388
+ "loss": 0.2524,
1389
+ "step": 1960
1390
+ },
1391
+ {
1392
+ "epoch": 0.5620542082738944,
1393
+ "grad_norm": 0.44426244460821573,
1394
+ "learning_rate": 4.612716813959963e-06,
1395
+ "loss": 0.2531,
1396
+ "step": 1970
1397
+ },
1398
+ {
1399
+ "epoch": 0.5649072753209701,
1400
+ "grad_norm": 0.39252008042053277,
1401
+ "learning_rate": 4.608675553970521e-06,
1402
+ "loss": 0.2543,
1403
+ "step": 1980
1404
+ },
1405
+ {
1406
+ "epoch": 0.5677603423680456,
1407
+ "grad_norm": 0.42203820881314386,
1408
+ "learning_rate": 4.604615107707588e-06,
1409
+ "loss": 0.2503,
1410
+ "step": 1990
1411
+ },
1412
+ {
1413
+ "epoch": 0.5706134094151213,
1414
+ "grad_norm": 0.4443532935670162,
1415
+ "learning_rate": 4.60053551211608e-06,
1416
+ "loss": 0.2555,
1417
+ "step": 2000
1418
+ },
1419
+ {
1420
+ "epoch": 0.5706134094151213,
1421
+ "eval_loss": 0.2534787058830261,
1422
+ "eval_runtime": 1735.0009,
1423
+ "eval_samples_per_second": 10.445,
1424
+ "eval_steps_per_second": 0.041,
1425
+ "step": 2000
1426
+ },
1427
+ {
1428
+ "epoch": 0.5734664764621968,
1429
+ "grad_norm": 0.402041602765129,
1430
+ "learning_rate": 4.596436804315141e-06,
1431
+ "loss": 0.2517,
1432
+ "step": 2010
1433
+ },
1434
+ {
1435
+ "epoch": 0.5763195435092725,
1436
+ "grad_norm": 0.4237553224823114,
1437
+ "learning_rate": 4.592319021597814e-06,
1438
+ "loss": 0.255,
1439
+ "step": 2020
1440
+ },
1441
+ {
1442
+ "epoch": 0.579172610556348,
1443
+ "grad_norm": 0.40865394365467317,
1444
+ "learning_rate": 4.588182201430702e-06,
1445
+ "loss": 0.2495,
1446
+ "step": 2030
1447
+ },
1448
+ {
1449
+ "epoch": 0.5820256776034237,
1450
+ "grad_norm": 0.3973130613900969,
1451
+ "learning_rate": 4.58402638145362e-06,
1452
+ "loss": 0.2477,
1453
+ "step": 2040
1454
+ },
1455
+ {
1456
+ "epoch": 0.5848787446504993,
1457
+ "grad_norm": 0.3979382862870555,
1458
+ "learning_rate": 4.5798515994792625e-06,
1459
+ "loss": 0.2499,
1460
+ "step": 2050
1461
+ },
1462
+ {
1463
+ "epoch": 0.5877318116975749,
1464
+ "grad_norm": 0.548323807818838,
1465
+ "learning_rate": 4.575657893492849e-06,
1466
+ "loss": 0.2492,
1467
+ "step": 2060
1468
+ },
1469
+ {
1470
+ "epoch": 0.5905848787446505,
1471
+ "grad_norm": 0.4018835955183295,
1472
+ "learning_rate": 4.571445301651787e-06,
1473
+ "loss": 0.2543,
1474
+ "step": 2070
1475
+ },
1476
+ {
1477
+ "epoch": 0.5934379457917262,
1478
+ "grad_norm": 0.39322324148387133,
1479
+ "learning_rate": 4.56721386228532e-06,
1480
+ "loss": 0.2503,
1481
+ "step": 2080
1482
+ },
1483
+ {
1484
+ "epoch": 0.5962910128388017,
1485
+ "grad_norm": 0.47145556435252123,
1486
+ "learning_rate": 4.56296361389418e-06,
1487
+ "loss": 0.2558,
1488
+ "step": 2090
1489
+ },
1490
+ {
1491
+ "epoch": 0.5991440798858774,
1492
+ "grad_norm": 0.39253010780526015,
1493
+ "learning_rate": 4.558694595150238e-06,
1494
+ "loss": 0.2531,
1495
+ "step": 2100
1496
+ },
1497
+ {
1498
+ "epoch": 0.6019971469329529,
1499
+ "grad_norm": 0.43535536580155454,
1500
+ "learning_rate": 4.5544068448961505e-06,
1501
+ "loss": 0.2527,
1502
+ "step": 2110
1503
+ },
1504
+ {
1505
+ "epoch": 0.6048502139800286,
1506
+ "grad_norm": 0.4391757861022582,
1507
+ "learning_rate": 4.550100402145007e-06,
1508
+ "loss": 0.2516,
1509
+ "step": 2120
1510
+ },
1511
+ {
1512
+ "epoch": 0.6077032810271041,
1513
+ "grad_norm": 0.4044352420827572,
1514
+ "learning_rate": 4.545775306079977e-06,
1515
+ "loss": 0.2519,
1516
+ "step": 2130
1517
+ },
1518
+ {
1519
+ "epoch": 0.6105563480741797,
1520
+ "grad_norm": 0.4092326872105066,
1521
+ "learning_rate": 4.541431596053949e-06,
1522
+ "loss": 0.2489,
1523
+ "step": 2140
1524
+ },
1525
+ {
1526
+ "epoch": 0.6134094151212554,
1527
+ "grad_norm": 0.4142574136435565,
1528
+ "learning_rate": 4.537069311589175e-06,
1529
+ "loss": 0.2533,
1530
+ "step": 2150
1531
+ },
1532
+ {
1533
+ "epoch": 0.6162624821683309,
1534
+ "grad_norm": 0.407854285271177,
1535
+ "learning_rate": 4.5326884923769136e-06,
1536
+ "loss": 0.2489,
1537
+ "step": 2160
1538
+ },
1539
+ {
1540
+ "epoch": 0.6191155492154066,
1541
+ "grad_norm": 0.4006735653856468,
1542
+ "learning_rate": 4.528289178277062e-06,
1543
+ "loss": 0.253,
1544
+ "step": 2170
1545
+ },
1546
+ {
1547
+ "epoch": 0.6219686162624821,
1548
+ "grad_norm": 0.44701909817555985,
1549
+ "learning_rate": 4.5238714093178025e-06,
1550
+ "loss": 0.2496,
1551
+ "step": 2180
1552
+ },
1553
+ {
1554
+ "epoch": 0.6248216833095578,
1555
+ "grad_norm": 0.4111503299148831,
1556
+ "learning_rate": 4.519435225695228e-06,
1557
+ "loss": 0.2492,
1558
+ "step": 2190
1559
+ },
1560
+ {
1561
+ "epoch": 0.6276747503566333,
1562
+ "grad_norm": 0.4276239208483549,
1563
+ "learning_rate": 4.514980667772985e-06,
1564
+ "loss": 0.2532,
1565
+ "step": 2200
1566
+ },
1567
+ {
1568
+ "epoch": 0.630527817403709,
1569
+ "grad_norm": 0.4037238998713479,
1570
+ "learning_rate": 4.5105077760819e-06,
1571
+ "loss": 0.25,
1572
+ "step": 2210
1573
+ },
1574
+ {
1575
+ "epoch": 0.6333808844507846,
1576
+ "grad_norm": 0.4064925136476104,
1577
+ "learning_rate": 4.506016591319619e-06,
1578
+ "loss": 0.2511,
1579
+ "step": 2220
1580
+ },
1581
+ {
1582
+ "epoch": 0.6362339514978602,
1583
+ "grad_norm": 0.4198253144415072,
1584
+ "learning_rate": 4.501507154350224e-06,
1585
+ "loss": 0.2515,
1586
+ "step": 2230
1587
+ },
1588
+ {
1589
+ "epoch": 0.6390870185449358,
1590
+ "grad_norm": 0.424295747980334,
1591
+ "learning_rate": 4.496979506203874e-06,
1592
+ "loss": 0.2497,
1593
+ "step": 2240
1594
+ },
1595
+ {
1596
+ "epoch": 0.6419400855920114,
1597
+ "grad_norm": 0.41396692230669685,
1598
+ "learning_rate": 4.492433688076427e-06,
1599
+ "loss": 0.2494,
1600
+ "step": 2250
1601
+ },
1602
+ {
1603
+ "epoch": 0.644793152639087,
1604
+ "grad_norm": 0.4498271205977494,
1605
+ "learning_rate": 4.487869741329061e-06,
1606
+ "loss": 0.2513,
1607
+ "step": 2260
1608
+ },
1609
+ {
1610
+ "epoch": 0.6476462196861626,
1611
+ "grad_norm": 0.41173345505564285,
1612
+ "learning_rate": 4.4832877074879065e-06,
1613
+ "loss": 0.2473,
1614
+ "step": 2270
1615
+ },
1616
+ {
1617
+ "epoch": 0.6504992867332382,
1618
+ "grad_norm": 0.8132661067460093,
1619
+ "learning_rate": 4.478687628243659e-06,
1620
+ "loss": 0.2532,
1621
+ "step": 2280
1622
+ },
1623
+ {
1624
+ "epoch": 0.6533523537803139,
1625
+ "grad_norm": 0.40516334541464116,
1626
+ "learning_rate": 4.474069545451206e-06,
1627
+ "loss": 0.2493,
1628
+ "step": 2290
1629
+ },
1630
+ {
1631
+ "epoch": 0.6562054208273894,
1632
+ "grad_norm": 0.40778215843981175,
1633
+ "learning_rate": 4.4694335011292464e-06,
1634
+ "loss": 0.2483,
1635
+ "step": 2300
1636
+ },
1637
+ {
1638
+ "epoch": 0.6590584878744651,
1639
+ "grad_norm": 0.4085656867005652,
1640
+ "learning_rate": 4.464779537459902e-06,
1641
+ "loss": 0.2529,
1642
+ "step": 2310
1643
+ },
1644
+ {
1645
+ "epoch": 0.6619115549215406,
1646
+ "grad_norm": 0.41429649428228155,
1647
+ "learning_rate": 4.460107696788343e-06,
1648
+ "loss": 0.251,
1649
+ "step": 2320
1650
+ },
1651
+ {
1652
+ "epoch": 0.6647646219686163,
1653
+ "grad_norm": 0.41004572765980873,
1654
+ "learning_rate": 4.455418021622393e-06,
1655
+ "loss": 0.2486,
1656
+ "step": 2330
1657
+ },
1658
+ {
1659
+ "epoch": 0.6676176890156919,
1660
+ "grad_norm": 0.41590970679740247,
1661
+ "learning_rate": 4.45071055463215e-06,
1662
+ "loss": 0.2501,
1663
+ "step": 2340
1664
+ },
1665
+ {
1666
+ "epoch": 0.6704707560627675,
1667
+ "grad_norm": 0.393909725360039,
1668
+ "learning_rate": 4.445985338649594e-06,
1669
+ "loss": 0.2454,
1670
+ "step": 2350
1671
+ },
1672
+ {
1673
+ "epoch": 0.6733238231098431,
1674
+ "grad_norm": 0.4035630410246483,
1675
+ "learning_rate": 4.441242416668198e-06,
1676
+ "loss": 0.2468,
1677
+ "step": 2360
1678
+ },
1679
+ {
1680
+ "epoch": 0.6761768901569187,
1681
+ "grad_norm": 0.4273195789696201,
1682
+ "learning_rate": 4.436481831842537e-06,
1683
+ "loss": 0.2503,
1684
+ "step": 2370
1685
+ },
1686
+ {
1687
+ "epoch": 0.6790299572039943,
1688
+ "grad_norm": 0.41577354947495637,
1689
+ "learning_rate": 4.431703627487897e-06,
1690
+ "loss": 0.2457,
1691
+ "step": 2380
1692
+ },
1693
+ {
1694
+ "epoch": 0.68188302425107,
1695
+ "grad_norm": 0.3979193031998009,
1696
+ "learning_rate": 4.426907847079878e-06,
1697
+ "loss": 0.2486,
1698
+ "step": 2390
1699
+ },
1700
+ {
1701
+ "epoch": 0.6847360912981455,
1702
+ "grad_norm": 0.40986225593473136,
1703
+ "learning_rate": 4.422094534253998e-06,
1704
+ "loss": 0.2507,
1705
+ "step": 2400
1706
+ },
1707
+ {
1708
+ "epoch": 0.6875891583452212,
1709
+ "grad_norm": 0.42272145688894464,
1710
+ "learning_rate": 4.417263732805303e-06,
1711
+ "loss": 0.2502,
1712
+ "step": 2410
1713
+ },
1714
+ {
1715
+ "epoch": 0.6904422253922967,
1716
+ "grad_norm": 0.4137381078371123,
1717
+ "learning_rate": 4.412415486687958e-06,
1718
+ "loss": 0.248,
1719
+ "step": 2420
1720
+ },
1721
+ {
1722
+ "epoch": 0.6932952924393724,
1723
+ "grad_norm": 0.394509664411755,
1724
+ "learning_rate": 4.407549840014856e-06,
1725
+ "loss": 0.2493,
1726
+ "step": 2430
1727
+ },
1728
+ {
1729
+ "epoch": 0.6961483594864479,
1730
+ "grad_norm": 0.4216114075029632,
1731
+ "learning_rate": 4.402666837057211e-06,
1732
+ "loss": 0.2472,
1733
+ "step": 2440
1734
+ },
1735
+ {
1736
+ "epoch": 0.6990014265335235,
1737
+ "grad_norm": 0.38685584751539454,
1738
+ "learning_rate": 4.397766522244158e-06,
1739
+ "loss": 0.2448,
1740
+ "step": 2450
1741
+ },
1742
+ {
1743
+ "epoch": 0.7018544935805991,
1744
+ "grad_norm": 0.4044295983955075,
1745
+ "learning_rate": 4.3928489401623455e-06,
1746
+ "loss": 0.2467,
1747
+ "step": 2460
1748
+ },
1749
+ {
1750
+ "epoch": 0.7047075606276747,
1751
+ "grad_norm": 0.43019705842154876,
1752
+ "learning_rate": 4.387914135555537e-06,
1753
+ "loss": 0.2469,
1754
+ "step": 2470
1755
+ },
1756
+ {
1757
+ "epoch": 0.7075606276747504,
1758
+ "grad_norm": 0.4467724769804675,
1759
+ "learning_rate": 4.3829621533241955e-06,
1760
+ "loss": 0.246,
1761
+ "step": 2480
1762
+ },
1763
+ {
1764
+ "epoch": 0.7104136947218259,
1765
+ "grad_norm": 0.40006544179174647,
1766
+ "learning_rate": 4.377993038525079e-06,
1767
+ "loss": 0.249,
1768
+ "step": 2490
1769
+ },
1770
+ {
1771
+ "epoch": 0.7132667617689016,
1772
+ "grad_norm": 0.40016811869588237,
1773
+ "learning_rate": 4.373006836370832e-06,
1774
+ "loss": 0.2449,
1775
+ "step": 2500
1776
+ },
1777
+ {
1778
+ "epoch": 0.7161198288159771,
1779
+ "grad_norm": 0.4112329700604831,
1780
+ "learning_rate": 4.36800359222957e-06,
1781
+ "loss": 0.2502,
1782
+ "step": 2510
1783
+ },
1784
+ {
1785
+ "epoch": 0.7189728958630528,
1786
+ "grad_norm": 0.402952155245274,
1787
+ "learning_rate": 4.36298335162447e-06,
1788
+ "loss": 0.2462,
1789
+ "step": 2520
1790
+ },
1791
+ {
1792
+ "epoch": 0.7218259629101283,
1793
+ "grad_norm": 0.39083763622254625,
1794
+ "learning_rate": 4.357946160233356e-06,
1795
+ "loss": 0.2488,
1796
+ "step": 2530
1797
+ },
1798
+ {
1799
+ "epoch": 0.724679029957204,
1800
+ "grad_norm": 0.4035312318583136,
1801
+ "learning_rate": 4.352892063888281e-06,
1802
+ "loss": 0.2465,
1803
+ "step": 2540
1804
+ },
1805
+ {
1806
+ "epoch": 0.7275320970042796,
1807
+ "grad_norm": 0.40610326566062943,
1808
+ "learning_rate": 4.347821108575113e-06,
1809
+ "loss": 0.2501,
1810
+ "step": 2550
1811
+ },
1812
+ {
1813
+ "epoch": 0.7303851640513552,
1814
+ "grad_norm": 0.39942872714888833,
1815
+ "learning_rate": 4.342733340433115e-06,
1816
+ "loss": 0.2463,
1817
+ "step": 2560
1818
+ },
1819
+ {
1820
+ "epoch": 0.7332382310984308,
1821
+ "grad_norm": 0.40646133973030324,
1822
+ "learning_rate": 4.337628805754525e-06,
1823
+ "loss": 0.2456,
1824
+ "step": 2570
1825
+ },
1826
+ {
1827
+ "epoch": 0.7360912981455064,
1828
+ "grad_norm": 0.3994627809176088,
1829
+ "learning_rate": 4.3325075509841355e-06,
1830
+ "loss": 0.2474,
1831
+ "step": 2580
1832
+ },
1833
+ {
1834
+ "epoch": 0.738944365192582,
1835
+ "grad_norm": 0.3824733984455135,
1836
+ "learning_rate": 4.32736962271887e-06,
1837
+ "loss": 0.2491,
1838
+ "step": 2590
1839
+ },
1840
+ {
1841
+ "epoch": 0.7417974322396577,
1842
+ "grad_norm": 0.3881074574492312,
1843
+ "learning_rate": 4.32221506770736e-06,
1844
+ "loss": 0.2494,
1845
+ "step": 2600
1846
+ },
1847
+ {
1848
+ "epoch": 0.7446504992867332,
1849
+ "grad_norm": 0.41224420244827775,
1850
+ "learning_rate": 4.3170439328495216e-06,
1851
+ "loss": 0.2411,
1852
+ "step": 2610
1853
+ },
1854
+ {
1855
+ "epoch": 0.7475035663338089,
1856
+ "grad_norm": 0.4242095789286537,
1857
+ "learning_rate": 4.311856265196122e-06,
1858
+ "loss": 0.2476,
1859
+ "step": 2620
1860
+ },
1861
+ {
1862
+ "epoch": 0.7503566333808844,
1863
+ "grad_norm": 0.4081539274332129,
1864
+ "learning_rate": 4.3066521119483595e-06,
1865
+ "loss": 0.2461,
1866
+ "step": 2630
1867
+ },
1868
+ {
1869
+ "epoch": 0.7532097004279601,
1870
+ "grad_norm": 0.4078553256962837,
1871
+ "learning_rate": 4.301431520457428e-06,
1872
+ "loss": 0.2477,
1873
+ "step": 2640
1874
+ },
1875
+ {
1876
+ "epoch": 0.7560627674750356,
1877
+ "grad_norm": 0.4021083988237341,
1878
+ "learning_rate": 4.296194538224092e-06,
1879
+ "loss": 0.2456,
1880
+ "step": 2650
1881
+ },
1882
+ {
1883
+ "epoch": 0.7589158345221113,
1884
+ "grad_norm": 0.3941508594403912,
1885
+ "learning_rate": 4.290941212898248e-06,
1886
+ "loss": 0.2476,
1887
+ "step": 2660
1888
+ },
1889
+ {
1890
+ "epoch": 0.7617689015691869,
1891
+ "grad_norm": 0.40144956230368534,
1892
+ "learning_rate": 4.285671592278492e-06,
1893
+ "loss": 0.2488,
1894
+ "step": 2670
1895
+ },
1896
+ {
1897
+ "epoch": 0.7646219686162625,
1898
+ "grad_norm": 0.40699098183331833,
1899
+ "learning_rate": 4.280385724311691e-06,
1900
+ "loss": 0.2458,
1901
+ "step": 2680
1902
+ },
1903
+ {
1904
+ "epoch": 0.7674750356633381,
1905
+ "grad_norm": 0.5188128225635168,
1906
+ "learning_rate": 4.275083657092541e-06,
1907
+ "loss": 0.2433,
1908
+ "step": 2690
1909
+ },
1910
+ {
1911
+ "epoch": 0.7703281027104137,
1912
+ "grad_norm": 0.40512015609538055,
1913
+ "learning_rate": 4.2697654388631295e-06,
1914
+ "loss": 0.2461,
1915
+ "step": 2700
1916
+ },
1917
+ {
1918
+ "epoch": 0.7731811697574893,
1919
+ "grad_norm": 0.39065120200311765,
1920
+ "learning_rate": 4.264431118012498e-06,
1921
+ "loss": 0.2461,
1922
+ "step": 2710
1923
+ },
1924
+ {
1925
+ "epoch": 0.776034236804565,
1926
+ "grad_norm": 0.39851975406480444,
1927
+ "learning_rate": 4.259080743076203e-06,
1928
+ "loss": 0.2504,
1929
+ "step": 2720
1930
+ },
1931
+ {
1932
+ "epoch": 0.7788873038516405,
1933
+ "grad_norm": 0.3948409453282174,
1934
+ "learning_rate": 4.253714362735869e-06,
1935
+ "loss": 0.2477,
1936
+ "step": 2730
1937
+ },
1938
+ {
1939
+ "epoch": 0.7817403708987162,
1940
+ "grad_norm": 0.40090019139214444,
1941
+ "learning_rate": 4.248332025818754e-06,
1942
+ "loss": 0.2461,
1943
+ "step": 2740
1944
+ },
1945
+ {
1946
+ "epoch": 0.7845934379457917,
1947
+ "grad_norm": 0.4105471490833463,
1948
+ "learning_rate": 4.242933781297297e-06,
1949
+ "loss": 0.249,
1950
+ "step": 2750
1951
+ },
1952
+ {
1953
+ "epoch": 0.7874465049928673,
1954
+ "grad_norm": 0.4133163509705647,
1955
+ "learning_rate": 4.237519678288679e-06,
1956
+ "loss": 0.2488,
1957
+ "step": 2760
1958
+ },
1959
+ {
1960
+ "epoch": 0.7902995720399429,
1961
+ "grad_norm": 0.3973226798279995,
1962
+ "learning_rate": 4.232089766054371e-06,
1963
+ "loss": 0.2474,
1964
+ "step": 2770
1965
+ },
1966
+ {
1967
+ "epoch": 0.7931526390870185,
1968
+ "grad_norm": 0.4092824228811784,
1969
+ "learning_rate": 4.226644093999689e-06,
1970
+ "loss": 0.2472,
1971
+ "step": 2780
1972
+ },
1973
+ {
1974
+ "epoch": 0.7960057061340942,
1975
+ "grad_norm": 0.38668313596002085,
1976
+ "learning_rate": 4.221182711673342e-06,
1977
+ "loss": 0.2459,
1978
+ "step": 2790
1979
+ },
1980
+ {
1981
+ "epoch": 0.7988587731811697,
1982
+ "grad_norm": 0.40203392598637905,
1983
+ "learning_rate": 4.215705668766983e-06,
1984
+ "loss": 0.2475,
1985
+ "step": 2800
1986
+ },
1987
+ {
1988
+ "epoch": 0.8017118402282454,
1989
+ "grad_norm": 0.42197334057202673,
1990
+ "learning_rate": 4.210213015114759e-06,
1991
+ "loss": 0.2459,
1992
+ "step": 2810
1993
+ },
1994
+ {
1995
+ "epoch": 0.8045649072753209,
1996
+ "grad_norm": 0.38817473177898254,
1997
+ "learning_rate": 4.204704800692851e-06,
1998
+ "loss": 0.2456,
1999
+ "step": 2820
2000
+ },
2001
+ {
2002
+ "epoch": 0.8074179743223966,
2003
+ "grad_norm": 0.41140732304480315,
2004
+ "learning_rate": 4.1991810756190265e-06,
2005
+ "loss": 0.2482,
2006
+ "step": 2830
2007
+ },
2008
+ {
2009
+ "epoch": 0.8102710413694721,
2010
+ "grad_norm": 0.3920457964568419,
2011
+ "learning_rate": 4.193641890152178e-06,
2012
+ "loss": 0.2457,
2013
+ "step": 2840
2014
+ },
2015
+ {
2016
+ "epoch": 0.8131241084165478,
2017
+ "grad_norm": 0.4096453185117248,
2018
+ "learning_rate": 4.18808729469187e-06,
2019
+ "loss": 0.2445,
2020
+ "step": 2850
2021
+ },
2022
+ {
2023
+ "epoch": 0.8159771754636234,
2024
+ "grad_norm": 0.3941808069339604,
2025
+ "learning_rate": 4.182517339777875e-06,
2026
+ "loss": 0.2461,
2027
+ "step": 2860
2028
+ },
2029
+ {
2030
+ "epoch": 0.818830242510699,
2031
+ "grad_norm": 0.40375858832021977,
2032
+ "learning_rate": 4.1769320760897225e-06,
2033
+ "loss": 0.2429,
2034
+ "step": 2870
2035
+ },
2036
+ {
2037
+ "epoch": 0.8216833095577746,
2038
+ "grad_norm": 0.3976500055021346,
2039
+ "learning_rate": 4.171331554446227e-06,
2040
+ "loss": 0.2441,
2041
+ "step": 2880
2042
+ },
2043
+ {
2044
+ "epoch": 0.8245363766048502,
2045
+ "grad_norm": 0.4075551768911702,
2046
+ "learning_rate": 4.1657158258050336e-06,
2047
+ "loss": 0.244,
2048
+ "step": 2890
2049
+ },
2050
+ {
2051
+ "epoch": 0.8273894436519258,
2052
+ "grad_norm": 0.40940826125744373,
2053
+ "learning_rate": 4.160084941262153e-06,
2054
+ "loss": 0.2473,
2055
+ "step": 2900
2056
+ },
2057
+ {
2058
+ "epoch": 0.8302425106990015,
2059
+ "grad_norm": 0.42519664385457717,
2060
+ "learning_rate": 4.154438952051491e-06,
2061
+ "loss": 0.2449,
2062
+ "step": 2910
2063
+ },
2064
+ {
2065
+ "epoch": 0.833095577746077,
2066
+ "grad_norm": 0.4242347233613599,
2067
+ "learning_rate": 4.148777909544393e-06,
2068
+ "loss": 0.2434,
2069
+ "step": 2920
2070
+ },
2071
+ {
2072
+ "epoch": 0.8359486447931527,
2073
+ "grad_norm": 0.4145820864091558,
2074
+ "learning_rate": 4.143101865249165e-06,
2075
+ "loss": 0.245,
2076
+ "step": 2930
2077
+ },
2078
+ {
2079
+ "epoch": 0.8388017118402282,
2080
+ "grad_norm": 0.4093844970216059,
2081
+ "learning_rate": 4.137410870810613e-06,
2082
+ "loss": 0.2461,
2083
+ "step": 2940
2084
+ },
2085
+ {
2086
+ "epoch": 0.8416547788873039,
2087
+ "grad_norm": 0.40155728521291567,
2088
+ "learning_rate": 4.131704978009569e-06,
2089
+ "loss": 0.2453,
2090
+ "step": 2950
2091
+ },
2092
+ {
2093
+ "epoch": 0.8445078459343794,
2094
+ "grad_norm": 0.38190955330022147,
2095
+ "learning_rate": 4.125984238762421e-06,
2096
+ "loss": 0.2417,
2097
+ "step": 2960
2098
+ },
2099
+ {
2100
+ "epoch": 0.8473609129814551,
2101
+ "grad_norm": 0.4246867248162885,
2102
+ "learning_rate": 4.120248705120643e-06,
2103
+ "loss": 0.2481,
2104
+ "step": 2970
2105
+ },
2106
+ {
2107
+ "epoch": 0.8502139800285307,
2108
+ "grad_norm": 0.3993513208504502,
2109
+ "learning_rate": 4.114498429270317e-06,
2110
+ "loss": 0.238,
2111
+ "step": 2980
2112
+ },
2113
+ {
2114
+ "epoch": 0.8530670470756063,
2115
+ "grad_norm": 0.39587105243959064,
2116
+ "learning_rate": 4.1087334635316615e-06,
2117
+ "loss": 0.2498,
2118
+ "step": 2990
2119
+ },
2120
+ {
2121
+ "epoch": 0.8559201141226819,
2122
+ "grad_norm": 0.4196151344194992,
2123
+ "learning_rate": 4.1029538603585536e-06,
2124
+ "loss": 0.2479,
2125
+ "step": 3000
2126
+ },
2127
+ {
2128
+ "epoch": 0.8559201141226819,
2129
+ "eval_loss": 0.24617859721183777,
2130
+ "eval_runtime": 1737.1187,
2131
+ "eval_samples_per_second": 10.432,
2132
+ "eval_steps_per_second": 0.041,
2133
+ "step": 3000
2134
+ },
2135
+ {
2136
+ "epoch": 0.8587731811697575,
2137
+ "grad_norm": 0.3980291915295099,
2138
+ "learning_rate": 4.097159672338054e-06,
2139
+ "loss": 0.2462,
2140
+ "step": 3010
2141
+ },
2142
+ {
2143
+ "epoch": 0.8616262482168331,
2144
+ "grad_norm": 0.41444324403023863,
2145
+ "learning_rate": 4.091350952189925e-06,
2146
+ "loss": 0.2439,
2147
+ "step": 3020
2148
+ },
2149
+ {
2150
+ "epoch": 0.8644793152639088,
2151
+ "grad_norm": 0.4066327533312674,
2152
+ "learning_rate": 4.085527752766154e-06,
2153
+ "loss": 0.2435,
2154
+ "step": 3030
2155
+ },
2156
+ {
2157
+ "epoch": 0.8673323823109843,
2158
+ "grad_norm": 0.3990297681799543,
2159
+ "learning_rate": 4.079690127050472e-06,
2160
+ "loss": 0.2461,
2161
+ "step": 3040
2162
+ },
2163
+ {
2164
+ "epoch": 0.8701854493580599,
2165
+ "grad_norm": 0.39340515362119455,
2166
+ "learning_rate": 4.073838128157868e-06,
2167
+ "loss": 0.246,
2168
+ "step": 3050
2169
+ },
2170
+ {
2171
+ "epoch": 0.8730385164051355,
2172
+ "grad_norm": 0.41636867957622425,
2173
+ "learning_rate": 4.067971809334113e-06,
2174
+ "loss": 0.2462,
2175
+ "step": 3060
2176
+ },
2177
+ {
2178
+ "epoch": 0.8758915834522111,
2179
+ "grad_norm": 0.40482030473771397,
2180
+ "learning_rate": 4.06209122395527e-06,
2181
+ "loss": 0.2413,
2182
+ "step": 3070
2183
+ },
2184
+ {
2185
+ "epoch": 0.8787446504992867,
2186
+ "grad_norm": 0.39896008462062826,
2187
+ "learning_rate": 4.0561964255272054e-06,
2188
+ "loss": 0.2491,
2189
+ "step": 3080
2190
+ },
2191
+ {
2192
+ "epoch": 0.8815977175463623,
2193
+ "grad_norm": 0.39131731651682233,
2194
+ "learning_rate": 4.050287467685112e-06,
2195
+ "loss": 0.2419,
2196
+ "step": 3090
2197
+ },
2198
+ {
2199
+ "epoch": 0.884450784593438,
2200
+ "grad_norm": 0.3916143289826878,
2201
+ "learning_rate": 4.044364404193012e-06,
2202
+ "loss": 0.2458,
2203
+ "step": 3100
2204
+ },
2205
+ {
2206
+ "epoch": 0.8873038516405135,
2207
+ "grad_norm": 0.4112838340106155,
2208
+ "learning_rate": 4.038427288943273e-06,
2209
+ "loss": 0.2452,
2210
+ "step": 3110
2211
+ },
2212
+ {
2213
+ "epoch": 0.8901569186875892,
2214
+ "grad_norm": 0.41031933195346787,
2215
+ "learning_rate": 4.0324761759561134e-06,
2216
+ "loss": 0.2415,
2217
+ "step": 3120
2218
+ },
2219
+ {
2220
+ "epoch": 0.8930099857346647,
2221
+ "grad_norm": 0.377173019313895,
2222
+ "learning_rate": 4.026511119379116e-06,
2223
+ "loss": 0.2424,
2224
+ "step": 3130
2225
+ },
2226
+ {
2227
+ "epoch": 0.8958630527817404,
2228
+ "grad_norm": 0.4024481912961536,
2229
+ "learning_rate": 4.02053217348673e-06,
2230
+ "loss": 0.2466,
2231
+ "step": 3140
2232
+ },
2233
+ {
2234
+ "epoch": 0.8987161198288159,
2235
+ "grad_norm": 0.4004194441994946,
2236
+ "learning_rate": 4.014539392679781e-06,
2237
+ "loss": 0.2437,
2238
+ "step": 3150
2239
+ },
2240
+ {
2241
+ "epoch": 0.9015691868758916,
2242
+ "grad_norm": 0.391668046386889,
2243
+ "learning_rate": 4.008532831484977e-06,
2244
+ "loss": 0.245,
2245
+ "step": 3160
2246
+ },
2247
+ {
2248
+ "epoch": 0.9044222539229672,
2249
+ "grad_norm": 0.4014481566004784,
2250
+ "learning_rate": 4.002512544554406e-06,
2251
+ "loss": 0.2415,
2252
+ "step": 3170
2253
+ },
2254
+ {
2255
+ "epoch": 0.9072753209700428,
2256
+ "grad_norm": 0.3918756710438348,
2257
+ "learning_rate": 3.996478586665044e-06,
2258
+ "loss": 0.2389,
2259
+ "step": 3180
2260
+ },
2261
+ {
2262
+ "epoch": 0.9101283880171184,
2263
+ "grad_norm": 0.4074106270656481,
2264
+ "learning_rate": 3.990431012718256e-06,
2265
+ "loss": 0.2442,
2266
+ "step": 3190
2267
+ },
2268
+ {
2269
+ "epoch": 0.912981455064194,
2270
+ "grad_norm": 0.39874892543579815,
2271
+ "learning_rate": 3.984369877739299e-06,
2272
+ "loss": 0.2451,
2273
+ "step": 3200
2274
+ },
2275
+ {
2276
+ "epoch": 0.9158345221112696,
2277
+ "grad_norm": 0.4098947778727311,
2278
+ "learning_rate": 3.978295236876811e-06,
2279
+ "loss": 0.2474,
2280
+ "step": 3210
2281
+ },
2282
+ {
2283
+ "epoch": 0.9186875891583453,
2284
+ "grad_norm": 0.4034535569050579,
2285
+ "learning_rate": 3.9722071454023235e-06,
2286
+ "loss": 0.2411,
2287
+ "step": 3220
2288
+ },
2289
+ {
2290
+ "epoch": 0.9215406562054208,
2291
+ "grad_norm": 0.4145583465589786,
2292
+ "learning_rate": 3.966105658709747e-06,
2293
+ "loss": 0.2461,
2294
+ "step": 3230
2295
+ },
2296
+ {
2297
+ "epoch": 0.9243937232524965,
2298
+ "grad_norm": 0.403394452728964,
2299
+ "learning_rate": 3.959990832314873e-06,
2300
+ "loss": 0.2448,
2301
+ "step": 3240
2302
+ },
2303
+ {
2304
+ "epoch": 0.927246790299572,
2305
+ "grad_norm": 0.39328211366257104,
2306
+ "learning_rate": 3.953862721854867e-06,
2307
+ "loss": 0.2455,
2308
+ "step": 3250
2309
+ },
2310
+ {
2311
+ "epoch": 0.9300998573466477,
2312
+ "grad_norm": 0.4160908230121395,
2313
+ "learning_rate": 3.947721383087765e-06,
2314
+ "loss": 0.2416,
2315
+ "step": 3260
2316
+ },
2317
+ {
2318
+ "epoch": 0.9329529243937232,
2319
+ "grad_norm": 0.775797683243158,
2320
+ "learning_rate": 3.941566871891959e-06,
2321
+ "loss": 0.2445,
2322
+ "step": 3270
2323
+ },
2324
+ {
2325
+ "epoch": 0.9358059914407989,
2326
+ "grad_norm": 0.3866443982477049,
2327
+ "learning_rate": 3.935399244265699e-06,
2328
+ "loss": 0.2439,
2329
+ "step": 3280
2330
+ },
2331
+ {
2332
+ "epoch": 0.9386590584878745,
2333
+ "grad_norm": 0.38620228514014043,
2334
+ "learning_rate": 3.929218556326573e-06,
2335
+ "loss": 0.2457,
2336
+ "step": 3290
2337
+ },
2338
+ {
2339
+ "epoch": 0.9415121255349501,
2340
+ "grad_norm": 0.39487916448963434,
2341
+ "learning_rate": 3.923024864311004e-06,
2342
+ "loss": 0.2467,
2343
+ "step": 3300
2344
+ },
2345
+ {
2346
+ "epoch": 0.9443651925820257,
2347
+ "grad_norm": 0.41020554184914293,
2348
+ "learning_rate": 3.916818224573736e-06,
2349
+ "loss": 0.2408,
2350
+ "step": 3310
2351
+ },
2352
+ {
2353
+ "epoch": 0.9472182596291013,
2354
+ "grad_norm": 0.41485816769336903,
2355
+ "learning_rate": 3.910598693587319e-06,
2356
+ "loss": 0.2434,
2357
+ "step": 3320
2358
+ },
2359
+ {
2360
+ "epoch": 0.9500713266761769,
2361
+ "grad_norm": 0.39185402047768125,
2362
+ "learning_rate": 3.904366327941597e-06,
2363
+ "loss": 0.2436,
2364
+ "step": 3330
2365
+ },
2366
+ {
2367
+ "epoch": 0.9529243937232525,
2368
+ "grad_norm": 0.3881406348413725,
2369
+ "learning_rate": 3.8981211843431955e-06,
2370
+ "loss": 0.2455,
2371
+ "step": 3340
2372
+ },
2373
+ {
2374
+ "epoch": 0.9557774607703281,
2375
+ "grad_norm": 0.4110193660187997,
2376
+ "learning_rate": 3.891863319615001e-06,
2377
+ "loss": 0.243,
2378
+ "step": 3350
2379
+ },
2380
+ {
2381
+ "epoch": 0.9586305278174037,
2382
+ "grad_norm": 0.39837419144438213,
2383
+ "learning_rate": 3.885592790695647e-06,
2384
+ "loss": 0.2441,
2385
+ "step": 3360
2386
+ },
2387
+ {
2388
+ "epoch": 0.9614835948644793,
2389
+ "grad_norm": 0.4006331615783165,
2390
+ "learning_rate": 3.879309654638994e-06,
2391
+ "loss": 0.2387,
2392
+ "step": 3370
2393
+ },
2394
+ {
2395
+ "epoch": 0.9643366619115549,
2396
+ "grad_norm": 0.400313006479787,
2397
+ "learning_rate": 3.873013968613613e-06,
2398
+ "loss": 0.2413,
2399
+ "step": 3380
2400
+ },
2401
+ {
2402
+ "epoch": 0.9671897289586305,
2403
+ "grad_norm": 0.40502171456250147,
2404
+ "learning_rate": 3.866705789902265e-06,
2405
+ "loss": 0.2379,
2406
+ "step": 3390
2407
+ },
2408
+ {
2409
+ "epoch": 0.9700427960057061,
2410
+ "grad_norm": 0.39598425697986533,
2411
+ "learning_rate": 3.860385175901374e-06,
2412
+ "loss": 0.2425,
2413
+ "step": 3400
2414
+ },
2415
+ {
2416
+ "epoch": 0.9728958630527818,
2417
+ "grad_norm": 0.4081437020149848,
2418
+ "learning_rate": 3.854052184120514e-06,
2419
+ "loss": 0.2387,
2420
+ "step": 3410
2421
+ },
2422
+ {
2423
+ "epoch": 0.9757489300998573,
2424
+ "grad_norm": 0.3911289400426434,
2425
+ "learning_rate": 3.8477068721818766e-06,
2426
+ "loss": 0.2415,
2427
+ "step": 3420
2428
+ },
2429
+ {
2430
+ "epoch": 0.978601997146933,
2431
+ "grad_norm": 0.4054384648891572,
2432
+ "learning_rate": 3.841349297819756e-06,
2433
+ "loss": 0.2438,
2434
+ "step": 3430
2435
+ },
2436
+ {
2437
+ "epoch": 0.9814550641940085,
2438
+ "grad_norm": 0.4148953146223238,
2439
+ "learning_rate": 3.834979518880017e-06,
2440
+ "loss": 0.2426,
2441
+ "step": 3440
2442
+ },
2443
+ {
2444
+ "epoch": 0.9843081312410842,
2445
+ "grad_norm": 0.4065755735091185,
2446
+ "learning_rate": 3.8285975933195696e-06,
2447
+ "loss": 0.2426,
2448
+ "step": 3450
2449
+ },
2450
+ {
2451
+ "epoch": 0.9871611982881597,
2452
+ "grad_norm": 0.4224874480432456,
2453
+ "learning_rate": 3.822203579205843e-06,
2454
+ "loss": 0.2449,
2455
+ "step": 3460
2456
+ },
2457
+ {
2458
+ "epoch": 0.9900142653352354,
2459
+ "grad_norm": 0.393825499789435,
2460
+ "learning_rate": 3.8157975347162575e-06,
2461
+ "loss": 0.2421,
2462
+ "step": 3470
2463
+ },
2464
+ {
2465
+ "epoch": 0.992867332382311,
2466
+ "grad_norm": 0.41165238403559623,
2467
+ "learning_rate": 3.8093795181376953e-06,
2468
+ "loss": 0.242,
2469
+ "step": 3480
2470
+ },
2471
+ {
2472
+ "epoch": 0.9957203994293866,
2473
+ "grad_norm": 0.40998581248250454,
2474
+ "learning_rate": 3.8029495878659667e-06,
2475
+ "loss": 0.2432,
2476
+ "step": 3490
2477
+ },
2478
+ {
2479
+ "epoch": 0.9985734664764622,
2480
+ "grad_norm": 0.397226432832215,
2481
+ "learning_rate": 3.7965078024052846e-06,
2482
+ "loss": 0.2431,
2483
+ "step": 3500
2484
+ },
2485
+ {
2486
+ "epoch": 1.0014265335235377,
2487
+ "grad_norm": 0.3841435578940134,
2488
+ "learning_rate": 3.790054220367727e-06,
2489
+ "loss": 0.2215,
2490
+ "step": 3510
2491
+ },
2492
+ {
2493
+ "epoch": 1.0042796005706134,
2494
+ "grad_norm": 0.43654618071300577,
2495
+ "learning_rate": 3.7835889004727067e-06,
2496
+ "loss": 0.2016,
2497
+ "step": 3520
2498
+ },
2499
+ {
2500
+ "epoch": 1.007132667617689,
2501
+ "grad_norm": 0.4106276506752052,
2502
+ "learning_rate": 3.7771119015464363e-06,
2503
+ "loss": 0.199,
2504
+ "step": 3530
2505
+ },
2506
+ {
2507
+ "epoch": 1.0099857346647647,
2508
+ "grad_norm": 0.41125177481655895,
2509
+ "learning_rate": 3.7706232825213927e-06,
2510
+ "loss": 0.1994,
2511
+ "step": 3540
2512
+ },
2513
+ {
2514
+ "epoch": 1.0128388017118402,
2515
+ "grad_norm": 0.4362677765358407,
2516
+ "learning_rate": 3.7641231024357792e-06,
2517
+ "loss": 0.1978,
2518
+ "step": 3550
2519
+ },
2520
+ {
2521
+ "epoch": 1.0156918687589158,
2522
+ "grad_norm": 0.4296108798191998,
2523
+ "learning_rate": 3.7576114204329937e-06,
2524
+ "loss": 0.1985,
2525
+ "step": 3560
2526
+ },
2527
+ {
2528
+ "epoch": 1.0185449358059915,
2529
+ "grad_norm": 0.432829463889251,
2530
+ "learning_rate": 3.7510882957610828e-06,
2531
+ "loss": 0.1988,
2532
+ "step": 3570
2533
+ },
2534
+ {
2535
+ "epoch": 1.0213980028530671,
2536
+ "grad_norm": 0.40827881618565204,
2537
+ "learning_rate": 3.7445537877722106e-06,
2538
+ "loss": 0.1965,
2539
+ "step": 3580
2540
+ },
2541
+ {
2542
+ "epoch": 1.0242510699001426,
2543
+ "grad_norm": 0.4118305763695054,
2544
+ "learning_rate": 3.7380079559221116e-06,
2545
+ "loss": 0.1967,
2546
+ "step": 3590
2547
+ },
2548
+ {
2549
+ "epoch": 1.0271041369472182,
2550
+ "grad_norm": 0.42480894852763423,
2551
+ "learning_rate": 3.731450859769556e-06,
2552
+ "loss": 0.2009,
2553
+ "step": 3600
2554
+ },
2555
+ {
2556
+ "epoch": 1.029957203994294,
2557
+ "grad_norm": 0.4166448347523735,
2558
+ "learning_rate": 3.7248825589758033e-06,
2559
+ "loss": 0.1981,
2560
+ "step": 3610
2561
+ },
2562
+ {
2563
+ "epoch": 1.0328102710413696,
2564
+ "grad_norm": 0.4272747031189851,
2565
+ "learning_rate": 3.718303113304061e-06,
2566
+ "loss": 0.1984,
2567
+ "step": 3620
2568
+ },
2569
+ {
2570
+ "epoch": 1.035663338088445,
2571
+ "grad_norm": 0.4297029432947676,
2572
+ "learning_rate": 3.7117125826189415e-06,
2573
+ "loss": 0.1979,
2574
+ "step": 3630
2575
+ },
2576
+ {
2577
+ "epoch": 1.0385164051355207,
2578
+ "grad_norm": 0.4364129589363993,
2579
+ "learning_rate": 3.7051110268859163e-06,
2580
+ "loss": 0.2007,
2581
+ "step": 3640
2582
+ },
2583
+ {
2584
+ "epoch": 1.0413694721825963,
2585
+ "grad_norm": 0.4198114406045477,
2586
+ "learning_rate": 3.6984985061707717e-06,
2587
+ "loss": 0.1985,
2588
+ "step": 3650
2589
+ },
2590
+ {
2591
+ "epoch": 1.044222539229672,
2592
+ "grad_norm": 0.4260158043377354,
2593
+ "learning_rate": 3.6918750806390592e-06,
2594
+ "loss": 0.1989,
2595
+ "step": 3660
2596
+ },
2597
+ {
2598
+ "epoch": 1.0470756062767475,
2599
+ "grad_norm": 0.43059347602945136,
2600
+ "learning_rate": 3.685240810555553e-06,
2601
+ "loss": 0.1993,
2602
+ "step": 3670
2603
+ },
2604
+ {
2605
+ "epoch": 1.0499286733238231,
2606
+ "grad_norm": 0.40669439626649023,
2607
+ "learning_rate": 3.678595756283698e-06,
2608
+ "loss": 0.2006,
2609
+ "step": 3680
2610
+ },
2611
+ {
2612
+ "epoch": 1.0527817403708988,
2613
+ "grad_norm": 0.4328051559037927,
2614
+ "learning_rate": 3.6719399782850612e-06,
2615
+ "loss": 0.1991,
2616
+ "step": 3690
2617
+ },
2618
+ {
2619
+ "epoch": 1.0556348074179742,
2620
+ "grad_norm": 0.4119609604958325,
2621
+ "learning_rate": 3.6652735371187815e-06,
2622
+ "loss": 0.199,
2623
+ "step": 3700
2624
+ },
2625
+ {
2626
+ "epoch": 1.0584878744650499,
2627
+ "grad_norm": 0.4365386529538563,
2628
+ "learning_rate": 3.6585964934410203e-06,
2629
+ "loss": 0.1996,
2630
+ "step": 3710
2631
+ },
2632
+ {
2633
+ "epoch": 1.0613409415121255,
2634
+ "grad_norm": 0.42710468097508963,
2635
+ "learning_rate": 3.651908908004407e-06,
2636
+ "loss": 0.1992,
2637
+ "step": 3720
2638
+ },
2639
+ {
2640
+ "epoch": 1.0641940085592012,
2641
+ "grad_norm": 0.4250691774481476,
2642
+ "learning_rate": 3.6452108416574883e-06,
2643
+ "loss": 0.2,
2644
+ "step": 3730
2645
+ },
2646
+ {
2647
+ "epoch": 1.0670470756062767,
2648
+ "grad_norm": 0.4245775817557762,
2649
+ "learning_rate": 3.638502355344175e-06,
2650
+ "loss": 0.1964,
2651
+ "step": 3740
2652
+ },
2653
+ {
2654
+ "epoch": 1.0699001426533523,
2655
+ "grad_norm": 0.45293611685468005,
2656
+ "learning_rate": 3.6317835101031858e-06,
2657
+ "loss": 0.2003,
2658
+ "step": 3750
2659
+ },
2660
+ {
2661
+ "epoch": 1.072753209700428,
2662
+ "grad_norm": 0.42888134822976454,
2663
+ "learning_rate": 3.6250543670674907e-06,
2664
+ "loss": 0.1972,
2665
+ "step": 3760
2666
+ },
2667
+ {
2668
+ "epoch": 1.0756062767475036,
2669
+ "grad_norm": 0.4328050984506226,
2670
+ "learning_rate": 3.6183149874637586e-06,
2671
+ "loss": 0.1995,
2672
+ "step": 3770
2673
+ },
2674
+ {
2675
+ "epoch": 1.078459343794579,
2676
+ "grad_norm": 0.40554199743201336,
2677
+ "learning_rate": 3.6115654326117977e-06,
2678
+ "loss": 0.1991,
2679
+ "step": 3780
2680
+ },
2681
+ {
2682
+ "epoch": 1.0813124108416547,
2683
+ "grad_norm": 0.4333678007243748,
2684
+ "learning_rate": 3.6048057639239974e-06,
2685
+ "loss": 0.2001,
2686
+ "step": 3790
2687
+ },
2688
+ {
2689
+ "epoch": 1.0841654778887304,
2690
+ "grad_norm": 0.4273273663181915,
2691
+ "learning_rate": 3.598036042904771e-06,
2692
+ "loss": 0.2031,
2693
+ "step": 3800
2694
+ },
2695
+ {
2696
+ "epoch": 1.087018544935806,
2697
+ "grad_norm": 0.4339449885169188,
2698
+ "learning_rate": 3.591256331149995e-06,
2699
+ "loss": 0.1992,
2700
+ "step": 3810
2701
+ },
2702
+ {
2703
+ "epoch": 1.0898716119828815,
2704
+ "grad_norm": 0.410332918094684,
2705
+ "learning_rate": 3.5844666903464494e-06,
2706
+ "loss": 0.2007,
2707
+ "step": 3820
2708
+ },
2709
+ {
2710
+ "epoch": 1.0927246790299572,
2711
+ "grad_norm": 0.43686499033444526,
2712
+ "learning_rate": 3.577667182271254e-06,
2713
+ "loss": 0.1996,
2714
+ "step": 3830
2715
+ },
2716
+ {
2717
+ "epoch": 1.0955777460770328,
2718
+ "grad_norm": 0.4265385202662405,
2719
+ "learning_rate": 3.5708578687913113e-06,
2720
+ "loss": 0.1999,
2721
+ "step": 3840
2722
+ },
2723
+ {
2724
+ "epoch": 1.0984308131241085,
2725
+ "grad_norm": 0.4344366421551202,
2726
+ "learning_rate": 3.5640388118627377e-06,
2727
+ "loss": 0.1969,
2728
+ "step": 3850
2729
+ },
2730
+ {
2731
+ "epoch": 1.101283880171184,
2732
+ "grad_norm": 0.4288430785753112,
2733
+ "learning_rate": 3.557210073530305e-06,
2734
+ "loss": 0.2005,
2735
+ "step": 3860
2736
+ },
2737
+ {
2738
+ "epoch": 1.1041369472182596,
2739
+ "grad_norm": 0.4334435166129172,
2740
+ "learning_rate": 3.5503717159268712e-06,
2741
+ "loss": 0.1983,
2742
+ "step": 3870
2743
+ },
2744
+ {
2745
+ "epoch": 1.1069900142653353,
2746
+ "grad_norm": 0.4102918318516278,
2747
+ "learning_rate": 3.543523801272819e-06,
2748
+ "loss": 0.1996,
2749
+ "step": 3880
2750
+ },
2751
+ {
2752
+ "epoch": 1.109843081312411,
2753
+ "grad_norm": 0.425518883257834,
2754
+ "learning_rate": 3.536666391875489e-06,
2755
+ "loss": 0.1991,
2756
+ "step": 3890
2757
+ },
2758
+ {
2759
+ "epoch": 1.1126961483594864,
2760
+ "grad_norm": 0.4332698602222992,
2761
+ "learning_rate": 3.5297995501286087e-06,
2762
+ "loss": 0.1988,
2763
+ "step": 3900
2764
+ },
2765
+ {
2766
+ "epoch": 1.115549215406562,
2767
+ "grad_norm": 0.444166414023965,
2768
+ "learning_rate": 3.522923338511732e-06,
2769
+ "loss": 0.1986,
2770
+ "step": 3910
2771
+ },
2772
+ {
2773
+ "epoch": 1.1184022824536377,
2774
+ "grad_norm": 0.43264920486836433,
2775
+ "learning_rate": 3.5160378195896628e-06,
2776
+ "loss": 0.2013,
2777
+ "step": 3920
2778
+ },
2779
+ {
2780
+ "epoch": 1.1212553495007134,
2781
+ "grad_norm": 0.4456987444163269,
2782
+ "learning_rate": 3.5091430560118935e-06,
2783
+ "loss": 0.1979,
2784
+ "step": 3930
2785
+ },
2786
+ {
2787
+ "epoch": 1.1241084165477888,
2788
+ "grad_norm": 0.4263418800695392,
2789
+ "learning_rate": 3.5022391105120275e-06,
2790
+ "loss": 0.2015,
2791
+ "step": 3940
2792
+ },
2793
+ {
2794
+ "epoch": 1.1269614835948645,
2795
+ "grad_norm": 0.4361654558918281,
2796
+ "learning_rate": 3.495326045907215e-06,
2797
+ "loss": 0.2018,
2798
+ "step": 3950
2799
+ },
2800
+ {
2801
+ "epoch": 1.1298145506419401,
2802
+ "grad_norm": 0.42644981988317404,
2803
+ "learning_rate": 3.4884039250975766e-06,
2804
+ "loss": 0.1983,
2805
+ "step": 3960
2806
+ },
2807
+ {
2808
+ "epoch": 1.1326676176890156,
2809
+ "grad_norm": 0.4342210808108061,
2810
+ "learning_rate": 3.4814728110656347e-06,
2811
+ "loss": 0.1978,
2812
+ "step": 3970
2813
+ },
2814
+ {
2815
+ "epoch": 1.1355206847360912,
2816
+ "grad_norm": 0.4559078272710917,
2817
+ "learning_rate": 3.4745327668757368e-06,
2818
+ "loss": 0.1978,
2819
+ "step": 3980
2820
+ },
2821
+ {
2822
+ "epoch": 1.138373751783167,
2823
+ "grad_norm": 0.42383170430544975,
2824
+ "learning_rate": 3.4675838556734844e-06,
2825
+ "loss": 0.1986,
2826
+ "step": 3990
2827
+ },
2828
+ {
2829
+ "epoch": 1.1412268188302426,
2830
+ "grad_norm": 0.40956908340236164,
2831
+ "learning_rate": 3.460626140685156e-06,
2832
+ "loss": 0.1994,
2833
+ "step": 4000
2834
+ },
2835
+ {
2836
+ "epoch": 1.1412268188302426,
2837
+ "eval_loss": 0.24679900705814362,
2838
+ "eval_runtime": 1728.4796,
2839
+ "eval_samples_per_second": 10.484,
2840
+ "eval_steps_per_second": 0.041,
2841
+ "step": 4000
2842
+ }
2843
+ ],
2844
+ "logging_steps": 10,
2845
+ "max_steps": 10515,
2846
+ "num_input_tokens_seen": 0,
2847
+ "num_train_epochs": 3,
2848
+ "save_steps": 1000,
2849
+ "stateful_callbacks": {
2850
+ "TrainerControl": {
2851
+ "args": {
2852
+ "should_epoch_stop": false,
2853
+ "should_evaluate": false,
2854
+ "should_log": false,
2855
+ "should_save": true,
2856
+ "should_training_stop": false
2857
+ },
2858
+ "attributes": {}
2859
+ }
2860
+ },
2861
+ "total_flos": 2.087354105856e+16,
2862
+ "train_batch_size": 8,
2863
+ "trial_name": null,
2864
+ "trial_params": null
2865
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b8184222149d23638dd940a9cc1245c55a1a317ae101e983e97bb7a553326202
3
+ size 6456
vocab.json ADDED
The diff for this file is too large to render. See raw diff